{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "informative-receptor",
   "metadata": {},
   "outputs": [],
   "source": [
    " # ! /usr/bin/pip3 install qiskit==0.13.0"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "standing-factory",
   "metadata": {},
   "source": [
    "## Quantum enhanced support vector machine"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "subsequent-disease",
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import scipy\n",
    "from scipy.linalg import expm\n",
    "import matplotlib.pyplot as plt\n",
    "from sklearn import datasets\n",
    "from sklearn.model_selection import train_test_split\n",
    "from sklearn.preprocessing import StandardScaler,MinMaxScaler\n",
    "from sklearn.decomposition import PCA,NMF,TruncatedSVD"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "medical-scheduling",
   "metadata": {},
   "outputs": [],
   "source": [
    "cancer=datasets.load_breast_cancer()\n",
    "X_train,X_test,Y_train,Y_test=train_test_split(cancer.data,cancer.target,test_size=0.3,random_state=109)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "supported-growing",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "<>:21: SyntaxWarning: \"is\" with a literal. Did you mean \"==\"?\n",
      "<>:21: SyntaxWarning: \"is\" with a literal. Did you mean \"==\"?\n",
      "<ipython-input-3-a5de52b23ad6>:21: SyntaxWarning: \"is\" with a literal. Did you mean \"==\"?\n",
      "  label='Malignant' if k is 1 else 'Benign'\n"
     ]
    }
   ],
   "source": [
    "def breast_cancer(training_size,test_size,n,PLOT_DATA=True):\n",
    "    class_lables=['Benign','Malignant']\n",
    "    cancer=datasets.load_breast_cancer()\n",
    "    X_train,X_test,Y_train,Y_test=train_test_split(cancer.data,cancer.target,test_size=0.3,random_state=109)\n",
    "    scaler=StandardScaler().fit(X_train)\n",
    "    X_train=scaler.transform(X_train)\n",
    "    X_test=scaler.transform(X_test)\n",
    "    pca=PCA(n_components=n).fit(X_train)\n",
    "    X_train=pca.transform(X_train)\n",
    "    X_test=pca.transform(X_test)\n",
    "    samples=np.append(X_train,X_test,axis=0)\n",
    "    minmax_scale=MinMaxScaler((-1,1)).fit(samples)\n",
    "    X_train=minmax_scale.transform(X_train)\n",
    "    X_test=minmax_scale.transform(X_test)\n",
    "    training_input={key:(X_train[Y_train== k,:])[:training_size] for k ,key in  enumerate(class_lables)}\n",
    "    test_input={key:(X_train[Y_train== k,:])[training_size:(training_size+test_size)] for k ,key in  enumerate(class_lables)}\n",
    "    if PLOT_DATA:\n",
    "        for k in range(0,2):\n",
    "            x_axis_data=X_train[Y_train== k,0][:training_size]\n",
    "            y_axis_data=X_train[Y_train== k,1][:training_size]\n",
    "            label='Malignant' if k is 1 else 'Benign'\n",
    "            plt.scatter(x_axis_data,y_axis_data,label=label)\n",
    "        plt.title(\"Breast Cancer datasets PCA\")\n",
    "        plt.legend()\n",
    "        plt.show()\n",
    "    return X_train, training_input,test_input,class_lables   "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "neither-pension",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "<>:18: SyntaxWarning: \"is\" with a literal. Did you mean \"==\"?\n",
      "<>:18: SyntaxWarning: \"is\" with a literal. Did you mean \"==\"?\n",
      "<ipython-input-4-eeb24768185c>:18: SyntaxWarning: \"is\" with a literal. Did you mean \"==\"?\n",
      "  label='Malignant' if k is 1 else 'Benign'\n"
     ]
    }
   ],
   "source": [
    "def breast_cancer_nmf(training_size,test_size,n,PLOT_DATA=True):\n",
    "    class_lables=['Benign','Malignant']\n",
    "    cancer=datasets.load_breast_cancer()\n",
    "    X_train,X_test,Y_train,Y_test=train_test_split(cancer.data,cancer.target,test_size=0.3,random_state=109)\n",
    "    nmf=NMF(n_components=n).fit(X_train)\n",
    "    X_train=nmf.transform(X_train)\n",
    "    X_test=nmf.transform(X_test)\n",
    "    samples=np.append(X_train,X_test,axis=0)\n",
    "    minmax_scale=MinMaxScaler((-1,1)).fit(samples)\n",
    "    X_train=minmax_scale.transform(X_train)\n",
    "    X_test=minmax_scale.transform(X_test)\n",
    "    training_input={key:(X_train[Y_train== k,:])[:training_size] for k ,key in  enumerate(class_lables)}\n",
    "    test_input={key:(X_train[Y_train== k,:])[training_size:(training_size+test_size)] for k ,key in  enumerate(class_lables)}\n",
    "    if PLOT_DATA:\n",
    "        for k in range(0,2):\n",
    "            x_axis_data=X_train[Y_train== k,0][:training_size]\n",
    "            y_axis_data=X_train[Y_train== k,1][:training_size]\n",
    "            label='Malignant' if k is 1 else 'Benign'\n",
    "            plt.scatter(x_axis_data,y_axis_data,label=label)\n",
    "        plt.title(\"Breast Cancer datasets NMF\")\n",
    "        plt.legend()\n",
    "        plt.show()\n",
    "    return X_train, training_input,test_input,class_lables  "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "desirable-behavior",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "<>:21: SyntaxWarning: \"is\" with a literal. Did you mean \"==\"?\n",
      "<>:21: SyntaxWarning: \"is\" with a literal. Did you mean \"==\"?\n",
      "<ipython-input-32-9dba14d9c5ed>:21: SyntaxWarning: \"is\" with a literal. Did you mean \"==\"?\n",
      "  label='Malignant' if k is 1 else 'Benign'\n"
     ]
    }
   ],
   "source": [
    "def breast_cancer_trunsvd(training_size,test_size,n,PLOT_DATA=True):\n",
    "    class_lables=['Benign','Malignant']\n",
    "    cancer=datasets.load_breast_cancer()\n",
    "    X_train,X_test,Y_train,Y_test=train_test_split(cancer.data,cancer.target,test_size=0.3,random_state=109)\n",
    "    scaler=StandardScaler().fit(X_train)\n",
    "    X_train=scaler.transform(X_train)\n",
    "    X_test=scaler.transform(X_test)\n",
    "    tsvd=TruncatedSVD(n_components=n).fit(X_train)\n",
    "    X_train=tsvd.transform(X_train)\n",
    "    X_test=tsvd.transform(X_test)\n",
    "    samples=np.append(X_train,X_test,axis=0)\n",
    "    minmax_scale=MinMaxScaler((-1,1)).fit(samples)\n",
    "    X_train=minmax_scale.transform(X_train)\n",
    "    X_test=minmax_scale.transform(X_test)\n",
    "    training_input={key:(X_train[Y_train== k,:])[:training_size] for k ,key in  enumerate(class_lables)}\n",
    "    test_input={key:(X_train[Y_train== k,:])[training_size:(training_size+test_size)] for k ,key in  enumerate(class_lables)}\n",
    "    if PLOT_DATA:\n",
    "        for k in range(0,2):\n",
    "            x_axis_data=X_train[Y_train== k,0][:training_size]\n",
    "            y_axis_data=X_train[Y_train== k,1][:training_size]\n",
    "            label='Malignant' if k is 1 else 'Benign'\n",
    "            plt.scatter(x_axis_data,y_axis_data,label=label)\n",
    "        plt.title(\"Breast Cancer datasets svd\")\n",
    "        plt.legend()\n",
    "        plt.show()\n",
    "    return X_train, training_input,test_input,class_lables   "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "known-advance",
   "metadata": {},
   "outputs": [],
   "source": [
    "class svm_utils:\n",
    "    def make_meshgrid(x,y,h=0.2):\n",
    "        x_min,x_max=x.min()-1,x.max()+1\n",
    "        y_min,y_max=y.min()-1,y.max()+1\n",
    "        xx,yy=np.meshgrid(np.arange(x_min,x_max,h),np.arange(y_min,y_max,h))\n",
    "        return xx,yy\n",
    "    def plot_countor(ax,clf,xx,yy,**params):\n",
    "        Z=clf.predict(np.c_[xx.ravel(),yy.ravel()])\n",
    "        Z=Z.reshap(xx.shape)\n",
    "        out=ax.contourf(xx,yy,Z,**params)\n",
    "        return out"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "endangered-biodiversity",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/admin/.local/lib/python3.8/site-packages/sympy/printing/ccode.py:8: SymPyDeprecationWarning: \n",
      "\n",
      "importing from sympy.printing.ccode has been deprecated since SymPy\n",
      "1.7. Use Import from sympy.printing.c instead. See\n",
      "https://github.com/sympy/sympy/issues/20256 for more info.\n",
      "\n",
      "  SymPyDeprecationWarning(\n",
      "/home/admin/.local/lib/python3.8/site-packages/qiskit/__init__.py:54: RuntimeWarning: Could not import the Aer provider from the qiskit-aer package. Install qiskit-aer or check your installation.\n",
      "  warnings.warn('Could not import the Aer provider from the qiskit-aer '\n",
      "/home/admin/.local/lib/python3.8/site-packages/qiskit/providers/ibmq/api_v2/clients/websocket.py:85: DeprecationWarning: \"@coroutine\" decorator is deprecated since Python 3.8, use \"async def\" instead\n",
      "  def _connect(self, url):\n",
      "/home/admin/.local/lib/python3.8/site-packages/qiskit/providers/ibmq/api_v2/clients/websocket.py:133: DeprecationWarning: \"@coroutine\" decorator is deprecated since Python 3.8, use \"async def\" instead\n",
      "  def get_job_status(self, job_id, timeout=None):\n"
     ]
    }
   ],
   "source": [
    "\n",
    "\n",
    "import numpy as np\n",
    "from sklearn.datasets._samples_generator import make_blobs\n",
    "\n",
    "from qiskit.aqua.utils import split_dataset_to_data_and_labels\n",
    "from sklearn import svm\n",
    "import matplotlib.pyplot as plt\n",
    "%matplotlib inline\n",
    "%load_ext autoreload\n",
    "# %aoutreload 2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "id": "leading-energy",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/usr/local/lib/python3.8/dist-packages/sklearn/decomposition/_nmf.py:312: FutureWarning: The 'init' value, when 'init=None' and n_components is less than n_samples and n_features, will be changed from 'nndsvd' to 'nndsvda' in 1.1 (renaming of 0.26).\n",
      "  warnings.warn((\"The 'init' value, when 'init=None' and \"\n",
      "/usr/local/lib/python3.8/dist-packages/sklearn/decomposition/_nmf.py:1090: ConvergenceWarning: Maximum number of iterations 200 reached. Increase it to improve convergence.\n",
      "  warnings.warn(\"Maximum number of iterations %d reached. Increase it to\"\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "n=2\n",
    "trianing_dataset_size=20\n",
    "testing_dataset_size=10\n",
    "sample_total_mf, training_input_mf,test_input_mf,class_lables =breast_cancer_nmf(trianing_dataset_size,testing_dataset_size,n)\n",
    "sample_total, training_input,test_input,class_lables =breast_cancer(trianing_dataset_size,testing_dataset_size,n)\n",
    "sample_total_tsvd, training_input_tsvd,test_input_tsvd,class_lables =breast_cancer_trunsvd(trianing_dataset_size,testing_dataset_size,n)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "invisible-marks",
   "metadata": {},
   "outputs": [],
   "source": [
    "data_train,_=split_dataset_to_data_and_labels(training_input)\n",
    "data_test,_=split_dataset_to_data_and_labels(test_input)\n",
    "\n",
    "data_train_mf,_=split_dataset_to_data_and_labels(training_input_mf)\n",
    "data_test_mf,_=split_dataset_to_data_and_labels(test_input_mf)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "unnecessary-quebec",
   "metadata": {},
   "outputs": [],
   "source": [
    "centers=[(2.5,0),(0,2.5)]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "ecological-neighborhood",
   "metadata": {},
   "outputs": [],
   "source": [
    "x,y=make_blobs(n_samples=100,centers=centers,n_features=2,random_state=0,cluster_std=0.5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "quiet-grenada",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'Blob linearly separable mf')"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1080x720 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig,ax=plt.subplots(2,2,figsize=(15,10))\n",
    "ax[0][0].scatter(data_train[0][:,0],data_train[0][:,1],c=data_train[1])\n",
    "ax[0][0].set_title(\"breast cancer dataset\")\n",
    "ax[0][1].scatter(x[:,0],x[:,1],c=y)\n",
    "ax[0][1].set_title(\"Blob linearly separable\")\n",
    "\n",
    "ax[1][0].scatter(data_train_mf[0][:,0],data_train_mf[0][:,1],c=data_train_mf[1])\n",
    "ax[1][0].set_title(\"breast cancer dataset mf\")\n",
    "ax[1][1].scatter(x[:,0],x[:,1],c=y)\n",
    "ax[1][1].set_title(\"Blob linearly separable mf\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "neutral-prague",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'breast cancer dataset mf')"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1080x720 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig,ax=plt.subplots(1,2,figsize=(15,10))\n",
    "ax[0].scatter(data_train[0][:,0],data_train[0][:,1],c=data_train[1])\n",
    "ax[0].set_title(\"breast cancer dataset\")\n",
    "ax[1].scatter(data_train_mf[0][:,0],data_train_mf[0][:,1],c=data_train_mf[1])\n",
    "ax[1].set_title(\"breast cancer dataset mf\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "derived-gabriel",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAA3IAAAE/CAYAAAADjvF6AAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjQuMCwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8+yak3AAAACXBIWXMAAAsTAAALEwEAmpwYAABCMUlEQVR4nO3deZwcdZ3/8fen+po7M7nvC4IQCIQrgMKCchhYFFERPPFadH+667ruqqu7Xuuux657qqssuqDuKgpyCnIjcgQISMgNSch9X5NMZqav+v7+qE7SM90zmWR6urumX8/Hox/prqqu+lS6Zz7z+db3+y1zzgkAAAAAEB5epQMAAAAAABwdCjkAAAAACBkKOQAAAAAIGQo5AAAAAAgZCjkAAAAACBkKOQAAAAAIGQo5YIiY2RfM7KYS7euDZvZkKfYFAEDYkRcBCjmgKDN73Mw+Oph9OOf+0Tk3qH0cCzP7ipn9rALHvdnMvn4U23/azLaa2T4z+7GZJfrZ9qNmtsrMOszst2Y2sTRRAwCOVSlyZW4/F5nZxlLE1Mf+yYsYlijkgGNgZtFKxxBmZvZmSZ+XdLGkaZJmSvpqH9teJOkfJV0laaSk1yT9vBxxAgBQDuRFHAsKOZSNmX3ezFab2X4zW2ZmV/da/ydmtjxv/Rm55VPM7NdmtsPMdpnZd/vYf8LM/s3MNuce/3awNetga5+ZfcbMtpvZFjP7UB/7+QdJF0j6bq6l67u55c7MPmFmr0p6Nbfs381sQ6717AUzuyBvP4daAM1seu7915vZejPbaWZf7Of/apSZ3Z3b73OSjuu1vuhxzWy+pC9IujYX+6Lc8g/l/d+uMbOP9XPs483sd2bWnovz1rx1J5rZQ2a228xWmtm7cstvkPReSZ/NHfee3PLPmdmm3HFXmtnFuV1dL+lHzrmlzrk9kv5e0gf7COlKSb/KbZvKbftHZnZcH9sDQGgNg1xZNE/k1l2Ri3l/Ljf8lZk1Srpf0sTcfjqsyNUl8mIP5EUEnHM8eJTlIekaSRMVNCBcK+mApAl56zZJOluSSTpeQYtURNIiSf8qqVFSnaTz+9j/1yQtkDRW0hhJT0v6+9y6iyRlctvEJF0hqVNSWx/7elzSR3stc5IeUtD6VZ9b9j5JoyRFJX1G0lZJdbl1X5H0s9zz6bn3/7ekekmnSUpKOqmP4/9C0i9z53xK7v/mybz1Azpu3vZ/rCDpmaQLc+d+Rh/H/rmkL+Y+p0P/37lYNkj6UO64p0vaKWl2bv3Nkr6et5/X5bafmPd/cFzu+SJJ1+ZtOzr3/zOqSDz/LOn7ea8n5ba9qtLfaR48ePAo9UMhzpUDyBNbJF2Qe952MA/ljrvxCP8v5MXD68iLPOSc44ocysc59yvn3GbnnO+cu1XBVa15udUflfRt59zzLrDKObcut36ipL92zh1wznU75/oa3PxeSV9zzm13zu1Q0CXh/Xnr07n1aefcfZI6FPxSPRrfcM7tds515c7pZ865Xc65jHPuO5ISR9jnV51zXc65RQp+aZ/WewMzi0h6h6Qv5c55iaRb8rc52uM6537jnFud+7/9naQHFbSkFpNW8IfBxF7/31dKWuuc+5/ccf8g6XYFf1gUk83FNdvMYs65tc651bl1TZLa87Y9+Ly5yH5+K+ldZnaqmdVL+pKChNXQ1/kCQFiFPFceKU+kFeSEFufcHufciwPZKXmxAHkRkuhaiTIysw+Y2UtmttfM9ipoURudWz1F0uoib5siaZ1zLjOAQ0yUtC7v9brcsoN29dpPp4JfnEdjQ/6LXLeQ5bnuFnsljdDhcypm6wCOP0ZBy17+sfLP66iPa2aXm9mCXNePvQpaWfva/rMKWiifM7OlZvbh3PJpks45+Pnl9vNeSeOL7cQ5t0rSXyhoCd1uZr/I6y7TIaklb/ODz/cX2c/Dkr6sIDmuzT32SxqygfEAUCkhz5VHyhPvUJB/1uW6Kp43wP2SF3vuh7wISRRyKBMzm6agW+EnFXQTaJW0RMEvRin45Vysb/cGSVNtYJOLbFbwS/Wgqbllx8IdaXmu//1nJb1LQbeTVgUtaFb8rQO2Q0HXlil5y6YexXF7xG7B2IfbFXTFGJfb/r6+4nTObXXO/YlzbqKkj0n6vpkdr+Cz+J1zrjXv0eSc+9Nix83t6/+cc+cr+FycpG/lVi1Vz6uRp0na5pzb1UdM33POzXLOjcudS1TB9wcAho1hkCv7zRO5K4lXKejWeaeCrpLF9tMbebFwP+RFUMihbBoV/MLaIQWDjBW0Mh50k6S/MrMzLXB8LqE9p6BP/TfNrNHM6szsDX0c4+eS/tbMxpjZaAVdDY51uuFtCmaM6k+zgsSyQ1LUzL6knq1px8Q5l5X0a0lfMbMGM5utYBD0QI+7TdJ0Mzv48x1X0JVjh6SMmV0u6bK+jm9m15jZ5NzLPQo+N1/SvZJOMLP3m1ks9zjbzE7KO+7MvP28zszelEuY3ZK6cvuRpJ9I+oiZzTazVkl/q2AsQbF46szslNz3YqqkGyX9uwsGgwPAcBL2XNlnnjCzuJm918xGOOfSkvbpcE7YJmmUmY0odhDyYkE85EVIopBDmTjnlkn6jqRnFPximyPpqbz1v5L0D5L+T0H3gDsljcz98n6LggHd6xV0G7i2j8N8XdJCSS9LWizpxdyyY/Hvkt5pZnvM7D/62OYBBf3UX1HQxaNbvbpeDsInFXRl2argF/n/HMVxf5X7d5eZveic2y/pzxW0fO6R9B5Jd/dz7LMlPWtmHbntPuWcW5Pbz2WSrlPQertVQUviwfvc/EhBv/+9ZnZnbvk3FQz83qqgBfZvJMk591tJ35b0mILPdZ2CbiKSpFzXlffmXtYp+F50KPhj5RlJf9dP/AAQSmHPlQPIE++XtNbM9kn6uIJuiHLOrVBQYK7J5ZBi90QjL5IX0Ys5d6Sr2QAAAACAasIVOQAAAAAIGQo5AAAAAAgZCjkAAAAACBkKOQAAAAAIGQo5AAAAAAiZgdw4smJa4zE3sS5x5A0BHLVES0OP19bYdOh5Ot7YY113Nt7j9YHuw8+7OlKlDw41Z++OJTudc2MqHUdYkB+BoZWfI/Pzo9R/jszPjxI5EqXRV46s6kJuYl1CPzt7bqXDAIad4+af3uN1/OzXH3q+Zcq8HuuW7p126PmLy3veruSlBWtLHxxq0p3fO2FdpWMIE/IjMDT6y49SzxyZnx+lnjmS/IhS6itHVnUhB6D08pMUCQoAgACNnAgbCjmgRpCgAAAorhSNnBI5EuVFIQfUABIUAACFjrWRU6KnCiqPQg4YxkhQAAAUN9BGTomeKqhOFHLAMEVXSgAAimO8OIYDCjlgGCJBAQBQiEZODCcUcsAwQoICAKA4xotjuKGQA4YJEhQAAIUYL47hikIOCDkSFAAAxTGhCYYzCjkgxOhKCQBAcYwXx3BHIQeEFAkKAIBCNHKiVlDIASFDggIAoDjGi6OWUMgBIUKCAgCgEOPFUYso5IAQIEEBAFAcE5qgVlHIAVWOrpQAABTHeHHUMgo5oIrRlRIAgEI0cgKSV+kAAAAAAABHh0IOAAAAAEKGQg4AAAAAQoZCDgAAAABChkIOAAAAAEKGQg4AAAAAQoZCDgAAAABChkIOAAAAAEKGQg4AAAAAQoZCDgAAAABChkIOAAAAAEKGQg4AAAAAQoZCDgAAAABChkIOAAAAAEKGQg4AAAAAQqYkhZyZ/djMtpvZkj7Wm5n9h5mtMrOXzeyMUhwXAIBqRn4EAAyVUl2Ru1nS/H7WXy5pVu5xg6T/KtFxAQCoZjeL/AgAGAIlKeScc09I2t3PJldJ+okLLJDUamYTSnFsAACqFfkRADBUyjVGbpKkDXmvN+aWAQBQy8iPAIBjUnWTnZjZDWa20MwW7kllKh0OAABVgfwIAMhXrkJuk6Qpea8n55YVcM7d6Jw7yzl3Vls8WpbgAACoEPIjAOCYlKuQu1vSB3Kzc50rqd05t6VMxwYAoFqRHwEAx6QkTXpm9nNJF0kabWYbJX1ZUkySnHM/kHSfpCskrZLUKelDpTguAADVjPwIABgqJSnknHPvPsJ6J+kTpTgWAABhQX4EAAyVqpvsBAAAAADQPwo5AAAAAAgZCjkAAAAACBkKOQAAAAAIGQo5AAAAAAgZCjkAAAAACBkKOQAAAAAIGQo5AAAAAAgZCjkAAAAACBkKOQAAAAAIGQo5AAAAAAgZCjkAAAAACBkKOQAAAAAIGQo5AAAAAAgZCjkAAAAACBkKOQAAAAAIGQo5AAAAAAgZCjkAAAAACBkKOQAAAKAfES+jWRNXaPq41ZJcpcMBJEnRSgcAAAAAVKu5MxfqL67+J0W8rExOHd3N+satX9K67TMrHRpqHFfkAAAAgCJGt2zXX7/zH9Vc36GGRJfqE90a1bJDX3nfFxSNpCsdHmochRwAAABQxEWnPiLPy/ZY5pkU9TI68/jnKhQVEKCQAwAAAIpobdqteDRTsNzzfLU07KtARMBhFHIAAABAES+vOUNdybqC5WZOy9afUoGIgMMo5AAAAIAiFr46T2u3z1B3KnFoWVeqTr9fcpE27ZpSwcgAZq0EAAAAivJdRF/52Td08dwHdOEpjymVievBP1yup5ddUOnQAAo5AAAAoC+ZbEwPvHClHnjhykqHAvRA10oAAAAACBkKOQAAAAAIGbpWAigb55zSS59VetFTct1dikyeqcS58+WNGFnp0AAAAEKFQg5A2aSevFfp5QulTFqSlF2zVJ0bVqnhuk/JaxpR4egAAADCg66VAMrCdXUovez5Q0VcsNBJmbTSi56qXGAAAAAhRCEHoCyyu7dLkSKdAPysslvWlT8gAACAEKOQA1AWXnOrlM0UrjCT1zq67PEAAACEWUkKOTObb2YrzWyVmX2+yPoPmtkOM3sp9/hoKY4LIDy8lpGKTJxReFUuElXsdG6siuGLHAkAGAqDnuzEzCKSvifpUkkbJT1vZnc755b12vRW59wnB3s8AOFVN/896n78TmVXL5EkWWOzEhdercio8RWODBga5EgAwFApxayV8yStcs6tkSQz+4WkqyT1TlIAapzFEqq/9Fq5i66WMimprlFmVumwgKFEjgQADIlSdK2cJGlD3uuNuWW9vcPMXjaz28xsSl87M7MbzGyhmS3ckyoyngZA6FksLqtvoohDLShZjiQ/AgDylWuyk3skTXfOnSrpIUm39LWhc+5G59xZzrmz2uLc5g4AMOwNKEeSHwEA+UpRyG2SlN96ODm37BDn3C7nXDL38iZJZ5bguAAAVDtyJABgSJSikHte0iwzm2FmcUnXSbo7fwMzm5D38q2SlpfguAAAVDtyJABgSAy6b4ZzLmNmn5T0gKSIpB8755aa2dckLXTO3S3pz83srZIyknZL+uBgjwsAQLUjRwIAhkpJOtk75+6TdF+vZV/Ke/43kv6mFMcCACBMyJEAgKFQrslOAByl4+afXpL9vLRgbUn2AwAAgOrBtFdAFepdxMXPfv2h51umzOuxbuneaYeev7jc9VhHEQcAGG7yc2R+fpR65sj8/Cj1zJHkRwwHFHJAlSlFgpJIUgCA4YVGTqAnCjmgShxrgpJoZQQADG8DbeSUKOJQOyjkgCpAggIAoFB/jZwSXSlR2yjkgAoiQQEAUBxdKYH+UcgBFUKCAgCgOCY0AY6MQg6oACY0AQCgEOPFgYGjkAPKiAQFAEBxjBcHjg6FHFAmJCgAAAoxXhw4NhRywBAjQQEAUBzjxYFjRyEHDCESFAAAxTGhCTA4FHLAEGFCEwAACjFeHCgNCjmgxEhQAAAUx3hxoHQo5IASIkEBAFCI8eJA6VHIASVQrgT1usnL9O4Lf6opY9dp865J+sXv3q+l6049xqgBABh6jBcHhgaFHDBI5UpQp0xbpC9c+1Ul4klJUmtju7543Vf0z7d/Xi+umtfvewEAqAQmNAGGDoUcMAjl7Er5wUtvOlTEHZSIJfXhy26kkAMAVBW6UgJDz6t0AAAGZsqYdUWXj2/bIs+yZY4GAIDq49IpZbesVXb3NjnnjvwGIMS4IgeERPuBVo1q2VWwvKO7Sb6LVCAiAACqR2rZc0o9+RvJPMn5spY21f/x9fKa2yodGjAkuCIHhMRtT16r7lSix7LuVEJ3Pv3OCkUEAEB1yG5dHxRxmbSUTkqZtNyeHeq652auzGHYopADQuLBF6/Q7U9eq65kvbpTCXWn6nTPs2/TXc+8o9KhAQBQUanFz0iZTM+FzskdaJe/c3NlggKGGF0rgdAw/frpa3X3grdrRNNetR9oVSYbq3RQAABUnDuwT1KRK29mcl2dZY8HKAcKOSBkMn5Mu/aNqXQYAABUjej0k5TatlHKpnuuyGYVGTf50Et/9zYlX3hM/vZN8trGKn7mRYqMm1LmaIHSoGslAAAAQi128tmyphYpkneNIhpTfN7FskS9JCm7fZM6b/u+sqsWy7XvUnbtcnXddZMy61+pUNTA4FDIAQAAINQsllDDNZ9Q/OyL5Y2dosi0E1V3+fsUP/3CQ9skn85NhpI/+UkmreTv76lAxMDg0bUSqGF++y5lVi+R/KwiM2YrMmp8j/Uum5EyGVmirkIRAgAwMBavU/yMCxU/48Ki6/3tm4oud/t2y2XSsijjzhEuFHJAjUotXqDU0/dJzg/Gh7/wO8XmvkGJcy6TSyeV/N1dyqxeLDknaxmpuouuVmTijEqHDQDAMbFEg1ymvXBFJCpFuB8rwoeulUAN8jvagyIum5F8PyjmsmmlFz2l7M7N6r7/f4MiLpuVfF9u70513Xuz/D07Kh06AADHJHb6BVLvq27RmGInnyMz/iRG+PCtBWpQdu0KyaxwRSaj9JLnlN2yNijierwpo9Sip8oSHwAApRabc55ic84LrsDFElIkquis0xQ/982VDg04JnStBELIpbqVXvKsMutWyBqaFT/19YpMmD7wHRQr4iTJJJdOBkkuW3hjVX/P9mOOuRScc8q88pLSi56SS3UpOv0kxc+8SFbfVNG4AAClE7GUYpFOdWdGlHS/ZqbEefMVP/ON8vftltfUKqurL+kxgHKikANCxiW71fmr/5Q7sP9QsdW1bqXib7hC8ZPPGdA+IjNOkp68t3CFF1Vs9lnKrllaZF1EkfFTBxP6oKWeuk/pZc8Fs45JQTG7eokarvvUoemlAQDh5Cml2SP+UZdddJfMfB1IjtL3d92gha8OLLcNlMUTioyeUNJ9ApVA10ogZFJLnulRxEmSMmmlnrpPLp0a0D68hmbFL7wqN8A7KnkRKRJV/Ow3KjrpOEVPmNtzHIFZMI7g1NeX9mSOgt+5X+mlzx4q4oKFWbnuTqWXPlexuACg6kWcxr29Qyd/b4fm3LRD0/98r+Kjs0d+X5md2vZFTWq4S7FIUlEvrRH1W/Xpq7+lWZNWVDo0oCqV5Iqcmc2X9O+SIpJucs59s9f6hKSfSDpT0i5J1zrn1pbi2ECYZVMprb/jdnU8+qiUzSo6/UTFz5svr7Gl7/e8tryw26MkeZ78nZsH3MUyfuKZik4+XpnXlkl+VtHpJ8kbMUqSlLjwbfJaxyi9+Gm5VLcik49X4ghxDTV/x+ZgVrHe557NKLNxVZ/TTQOVRo5EpU3/ZLtaTkvJSwSvW85KqWn2bi3/q1HKdlRHm37M26Px9Q8pYj0bJOPRlN7xhlv1zV9+uUKRAdVr0IWcmUUkfU/SpZI2SnrezO52zi3L2+wjkvY45443s+skfUvStYM9NhB2y77zbe1b9aqUDq4yZV59WdmNq9Xw3r+UxRJF3+M69xffme/LEg1HdXyvaYTic84rWG6ep/jpFyh++gVHtb+hZI3NwQybBSs8eS0jyx8QMADkSFRafFxGLXNT8uKHl3kRSXGn0Rd3adtdjRWLLV99ZKt8Fyso5DzPacLIzRWKCqhupWiGmSdplXNujXMuJekXkq7qtc1Vkm7JPb9N0sVmfc22ANSG/WvWaP+a1XLpvK6Czg8mMln5UtH3ZHdsluvsKLrOGlvkjRw7BJFWB2/UBHkjRku9p4iORIJZyIDqRI5ERdVPychlCr9OXkJqmJUu8o7KOJCZKk+F3T0zWU+vbnpdBSICql8pCrlJkjbkvd6YW1Z0G+dcRlK7pFElODYQWgc2rAtuxN1bJi1/+8ai78lueFVyxd4kRWecVMLoqo+Zqe4tH5I3YVowri8al9U3qu6y6xQZNb7S4QF9IUeiopLbopJXmDf8tNS9oXrmvMu6Rq3p+KAy/uGJq3xnSmfiuv1JLlADxVTPT3COmd0g6QZJGp8o3rUMtafxhJTGXX1AdROy6lwb1dbbm6oqAR2LurHjZF6RRvdIVF7bmKLvsXgi6BOT7dXF0IvImlpLH2SV8Rqa1PC2P5HfuV9KJWUtI2VedYzvAIYa+RHHontDVF3ro2qYnunRvdJlTDsfqq7Zfl/Z/2fqyk7QpMSP1Bjbow175+p7t79bW/b0bvsAIJWmkNskaUre68m5ZcW22WhmUUkjFAzoLuCcu1HSjZI0u6Wp+KUH1JSW05Oa/mfthwZpx0al1Dxnt1b9Q5u61sT6f3MVG/G6ExUfOUrd27bK5d98OxJV7MQzi74netwcJZ++v3CF5yl6/JwhirT6eA3NUkNzpcMABqJkOZL8iGO15tutmvyh/Wqdl5R5UteGqDb8qFnp3ZFKh9aLaUPnNbrrhXceWrJh59qS7T27ZZ3SS5+VS3Yretwpis46VRYJd6Mwalspvr3PS5plZjMUJKPrJL2n1zZ3S7pe0jOS3inpUef66B8G9OA06fr9h4o4KRgiFamTJr6nQ6u/3la50AbJPE+nfuHv9OqP/lu7F/1BcpI3ZqISb3y7rL744HOrb1Td/Peq+4Gf5y11qrv0uqC4AVBtyJGoOL/L0/rvj9D6HzpZRHKp4kMwvYTTqIs71XpuUn63aefD9Wp/LiEp/EM2Uy/9XqnnHpYyGUlO2U1rlF72nOqv+hNZpNoKWmBgBl3IOecyZvZJSQ8omFr5x865pWb2NUkLnXN3S/qRpJ+a2SpJuxUkMuCIvIQUH1lkpkJJDTOqZ5D2sYq1tGj2pz+jPzy1Kph1MhY/4nuiU09Q44e+oOzm1yRJkYkzZNHwXpkEhjNyJKpK1uT6uH2cRZ1mfXm3EuOzhxpPG45La9cJ9dr8s3A3FLruTqWefajX/VdT8nduVWb1YsVOmFux2IDBKMn1ZOfcfZLu67XsS3nPuyVdU4pjobb4KclPmyKRwsbpzL7hMzbKItHgT7yBbh+NKTr1hJIcO7ttgzJrlknRqGKzTpPXOrok+wUQIEciDFrP7VZ8XLZHD5hInTT64i7tuL9B6V3hvWqV3fxabnx5r/uQZlLKrF5CIYfQomMwqpsz7Xy4TqMv7VIkL7lku6Vtdx/dPdOqkSmrEXVb1JDoUGeyqezH737ibmVWvCBl0pJ5Sr/4O8Vff4Xic84teywAgMppOS2lSF3hcpeVGl+X1t6nw1vIKd7H5EBmsrrw/y2B2kUhh6q35dYmRZt9jTw/Gcy876Tt9zZo92PVNdvW0Tpp7AO6/MS/VyzSrY+fm9ELq87Sd+/+S3WlypNUslvWHS7iJMn5UtZX6un7FD3uZMbcAUANSe/15Gckr/dfhs6UaQ93D5hgCEJULp3stSKq2Ox5lQkKKIFw/2SiJjSekFbrOUm5bJBgXEZqPjUlC/GwsEkti/TWk7+gxvgexSNdikXTOuP4hfrMO75RthgyqxfnBn33YqbsupVliwMAUHm7Hq1X7/txO1/Kdps6loU44UoyL6K6t3xYVt8kxRLBIxJV/Lz5ioybXOnwgGPGFTlUN3Oa/mf7enT3iNRLDdMyGvWmTu18oPjsjsfEc5IvlWN2rvOm/VhRr2fLYDya1slTF2t0y3bt3Dd2yGOQ10c3GbNgalAAwLBlcafWs5OKtWV14NWYDqyMae33Rmjqx/bJTJLnlN4d0WvfGSG5ocuL29bu1GuLd6lt+kS1Thk/ZMeJjJ6ghus/r+yWtVI6qciE6bJEuHv2ABRyqGp1UzLyEoUTnXgJaeK7D2jslV3auyChbXc0Ktt5bMVH44kpTb5+v+qmZOUnTTsfqtOWXzVJ2dIlLuecsumMIrHgR66tYaM8KzyvdDamtubdZSnkoifMVXrJgsNdKw8Hq+j0k4b8+EPN72iXspngpuEW/qmzAWAgvDpf8dG+Urs8+V3F82LdpIyO/7s9sqiTxYKeLp2vxrTmn1q15E9Hq2FaRtmkKbkpoqFq3Ewn0/rBJ3+mlc+slkVjymYymjpvji7/xqckDc0VQPM8RSfNHJJ9A5VAIYeq5rImFSl4JMmLBbcmGH1pl9rO79beZ+rUsSym9hcTkj+wxFM3JaOZf7330BW/SJ3TmMu6FB3htOGHLYOO3/d9/faHj+vB/35CXR1JtUwYrQs+/X6NuuAsjW5cpajXs2tjNJLRxh1TB33cgYiMnqD4WW9U6vlHgwVmknNKXHyNrC68rZT+vt3qfuD/5O/efmgge90l71Jk4oxKhwYAQ8ecJr6nQ6Mv6ZLLmizitOvRem36WVPBFbXpn2pXpNEd7nwRDYYxjL6sUzvub1TnmqHvSvnrb9+vlc+sVjqZkZJBLlz/7GI98/1b1Tj/fUN+fGA4oP8UqlpyU0SZdk+u+K3kJAUFXbTZacybuzT14/t0wtf2yOIDu5fuuLcekNcrX3kJqe3cbkWa+znoAN39bw/p/v96TF37uyXntG/zDj3wt9/VAw++Qelso3z/8I9gdyqhO55+Z9kmO5Gk+BkXqeE9n1biDVcocf6VavzA5xQ77pSyHb/UnO+r687/lr9zSzDNdCYt19GurntvCa7QAcAwNfbKTo16U5e8uBSpd/Li0siLujTuqs4e28VHZxUfnS3oQe8lpFEXdZct3qduWxgUcXmyqbSW3PVY2WIAwo5CDlXO9Nq/tip7wJTtMvkZBTNX9t4q19gYqZfqJmY05o8PKD4uI6++/2KsbkpGVmSomMuYEmP6uGvqAKWTGT1y81NKdfXsuphJprT4p4/ov5+9TS9vfav2dY/Tmi0z9f17P6Vf/f49kqTszi1KLnxUqT88IX/fnkHFcSRec5tip5yr2OyzZfUlHHNYAdmNq+SS3YVfEj+r9PKFlQkKAMpg7BWdBbcPiNRJYy7vWcj121OyTL3QnXNKdaeLrst0JYsuB1CIrpWoet0bolr6Z6PVcnpSTbNTGnlBd9F73RzkJaQJb+/UuCs7ZZ60Z0GdNv6oWS5TmKFcxuTc4ULw8D6cktsGd8+cjj0H5IpVnZK6t25Ve/dE3bPsHyRJLy1Ye2hd8un7g7Fr2YxknlLPPaz4BW9RfPbZg4qnFrgD+1T08q2flds/tAUxAFRSpLF4vgmWOx2s0lI7PKX3eEqM7/m70k9Ku3/fT3ItITPTcWdM06qFawvWTZz7urLEAAwHXJFDKLi0qf25Om26pVmZ/cG9bvpjXtAS6cWltnO6NfmD+4tuFxuZLSjiDsp2Dq5psmVUkyKR4j9iDZOnFD/mtg2HJyBxTvKzUjaj1O/vkd/ZMah4akFk3JTil2xjcUUmHVf+gACgTLrWF2+b717fe8IS09r/HKFspymb68CQ7Qrev+O35eva/+4vX6W6xoQisaDRNBKLKt5Yr4v++kNliwEIOwo5hIszrfpamzpXxeTnap0+Lnod4iWktjd0y0v4qp+eVtPs1KGZMIvNiHmQDfJ6dSQW0RWfeJPi9T0H4UUTcU1757uKviez6uXCWSQlyTzu7TYA3shxisw4SYrm/Z9HIrLGEYqGeOwfABzJpp82yU8e7pTgfCmblDb+pLlg2661MS3981Ha/L/N2nZng9b+5wi9+tU2uXT5ZvidfOIEfeX+v9TFH3yDpsw7Rae9+3K999Z/0qjjizd0AihE10qETnp3RKv+vk3109Oa9eU98uIDe9+J39qtSJMLulJGnDbd0qQDK2NqnpMuGPTdvSVSkoR22Uf/SA0t9brv+4+qfUeHRh03Ref/xfu0veGE4m8wU9ByWmwg4KDDqQl1l1yr9NLnlFn6rFw2o+hxcxQ/449k0XDf0BYA+nNgZVyvfrVN464+oPqpGXVtiGrbHY3qWlv8d5/f5QU3Aa+gtgkj9I7PXqGle6dVNA4grCjkEFp+0vqdzTKfRaXYKL9HwTbp+g6t/0GLGmdlZDEnL6ZgMpWMtO2uBnkJJz85uOrJzHTBtfN0wbXzeiSq7cuLXwmMHn+a0kueLXJvN1/RaScOKpZaYZ6n+JxzFZ9zbqVDAYCy6loX09p/a610GADKhEIOVSc+JquGmWmldkXUuSqq/EtRDTPTGnNFp+Kjs9q/JKZsh6dIXc9q7mB3Sy9XtGVTwR56X7nzolLLaSmt+JuRGntFpxqOS8tLOCXGZTXlwx2yj+7XjgfqteWXhffgGSqRsZMUm3uB0n94QvmzsCTe+PbQzygJAACA0qGQQ/Uwpyk37Ffbud1yGUkmpXdFtOofW5Vpj6j1nC5N/dh+WSyYzKR+WkZ+MhikLQvGwvndUnJrVMltnhqPzyi1M6L9S2Iae0WX1OvechaRoiN8pXdGtOknzRr3tgMa+5YDuYIv2Hb0ZV3K7Pe0477yFVGJeZcodsJcZdaukCIRRWeeLK9x8DcnBwDUCHMac3mnxry5S169U8fSmDb/vEmp7fzZBwwn/ESjaoy6uEut87qDQip39cwbn9W0T+7T6m+0avKHO+QlDm/vxSV50u4n6tS1LqpYm68Dr8S0/+W45Ex7uiPavD+qsWPTuvitnQXHy3ZL+144fJluzOXF78Ez9srOshZykuS1jlZ87vllPSYAYHiY8pH9aj3v8K16RpyZUtPsPVrxuZHK7B3crXUAVA8KOVSNMZd2FRRSFpUaZ6XVMCMtixSOK/OiUvPslDb+6PAVK99Jv1o+Qi/vqFfEnPxl0r7/yOjqP98ZXM2zYCav1LaIdj95cKC36/MePNGmI0yLiUOym19T8pkH5O/eJq+5VfF5lyo6c3alwwKAmhFrywYzNecNJ7CI5MWdxry5S1tubapccABKitsPoGp4dX0UTL7k+ybroxExs7/n1/jJDQ1avKNOGd+UzHrKONOY16WVyZuS2Txpy22NeTNTmro3Fj9AX/fmQU/ZTWvUde/N8retl9JJ+bu3qfvhW5Ve8WKlQwOAmlE3OSO/yKzLXjxoGAUwfFDIoWq0L0zIL5JjMvs9db8WVcfKWMH6bLe0/b6eNzB9ZlOj0v7hr/ZVH9mpcy5tV7wuuBpnnuTFpGl/ul8WPVw8bvppc9F78Gz6Ka2XA5F85reFs21m0ko981u5I93sDwBQEsntEXnRwt+5LiN1b6JbJTCcUMihamy9o1GZdk/Z7uC1nw4KtfU/bJFkWvfdEepcE5WflDIHTH5K2v6bBrU/l+ixn2Q2N9Njva9/+L/VuuHLm5Xo1WXzoMYTDhceHUvjWvX1Nu1bFFdyh6d9f4hr1dfadGDlAG9UV+P83duLLnfJTimTKnM0AFCbUtui6nglJr/Xr10/I+34bUPxNwEIJfqMoWpkOzyt+NxIjfyjbjXNTim5Napdj9QrtSNyaP2qr41UfFxGsTZf3eujynYWtkWcODKpF7fV64Yvb9Kccw8ochQNkJ1rYnrtn1tLdEa1xZpa5PbuLFwRjQUPAEDJ1M9Ia9xbOhUfl9GBV2Lafm+j0ruChLf2X0do8of2q/XcpGRSantEG37UrOQW/uwDhhN+olFV/G5POx9s0M4H+241TG2LKrWt731cNnO/VuyO69J37VGir3F3Cm7TdmAlBUYxzs/K37JOLptVZMI0WezIVyXjZ1+i5GO39+xeGY0pNvcCmXHxHwBKpeX0pKb/Wfuh2/HUTc6q7Q1JvfJ3bUpti8pPelr/gxHacJOTxZz8Ln4HA8MRhRyGndY6X585d4fi8eJFnHOSn5TW/tsIuWzfN/retD+qzR0xjarPasaI1MF7cw972W0b1PWbW6RsNriTuu+UeOPbFZt1ar/vi806VS7drdSCB6VUUopEFTv9AsXPvKgscQNAbXCa/OH9PW/HE5VkThOuOaB13x1xeMuMyWUKk1ek0dfoyzrVMjel9B5PO+5vYBgBEEIUchiWGqNS55qoGo/P9FjunJTc5unVL7cp21G8z2U6K928eKTWtcdkkmRSWyKrj52+S419FIfDhcuk1XXP/0ip7h7Lk4/drsjYSfJGjOr3/fHZ8xQ76SwpmZTicZnHwHoAKKXoCF/RJr9guReRmk8+8njkSJOv131jt6JNvrx4MLFX86kpbfpJk3Y/Xj1j6Lq2bdOWhx9U1/LV8iZMV/zkebK60sXnujqUeW255PuKTD9RXtOII78JqDJca8ewtfF/mpXtskMzXR6cjTLW5uukf96tEWd1F33fI2ubtLY9rrTvKeV7SmU97eiK6rYV4f8l73d2yN+7U84v/CNAkrLrVgTVbsEbs0ovf2FAxzDzZHX1FHEAMAT8bi/oLVFE79vxFDPm8s5DRZwUdM2MJKRJ7zsgi1VHY+Xe5cv04t/8tTY/cL+y619R+vlH1Pnzf5Xf0V6S/adfXaQDP/m2kk/eq+TT96nzf7+j1KKnSrJvoJwo5DBsda2NacXnRmrnA/XKdAbLzIKEFW12mvb/9ql+euH9Dp7f0qCM3zNL+s60cnfdoXvRVRvnnDKb1qj79/co+cxvld3dcxCh6zqgrrt/pM6ffkudv/yuDtz8DWXWLCvcTzLv/gv5fF+uu3OowgcADJCfNO19NlEwK2W2W9p+75GvWI04PdnjZuGHuOAedJWWSaa09J++JZfJi8XPynUdUOrZhwa9f7+zQ8lHb5eymWBMdyYtZTNKLXhA/p7isy8D1YqulSgbizm1np1UYkJG3Rujal+Y6HeMWimkd0W063f1Gn1pl3rPt2FRacz8Lq3/Qc8JT/KLODOn0y/o0JRZ3dr4akLVWMc555R85FdBYZZJSeYpvfgZxc+7XPE550qSun5zi/ydWyQ/KykrZVLqfvhW1b/9Y4qMnnhoX5HJM4tfkYvGFZ1+YpnOCADQn40/blGkoV3Np6TkMiaLOu18sF67n+jjXjt50vs81StbsNyiTtmOyrfvv3TrA3K970mak1m7YtD7z65drqKD3n1f6VdfVmLeJQPel3O+0oufVfrlp+SS3YpMnqnEufPljRg56DiBgaCQQ1nERmY166t7FKl3itQ7ZbukCdd6euXLI5UdQFeQQR27zc8VjD0LFItI8TGFyeyk0d1atK1eja1Z/fOvV2ns5LSiUadsRtIeT6v+vk3ZA5VPdgdlN64+XMRJwRW1jK/U0/cpOnO2/O0b5e/amivi8t+YUXrRU4pcfM2hRV7LSMXmnKf0kgWHZ5+MxhUZP1WRaSeU6YwAAP3xk6bXvtOq2MisYiN9JTdHit6Op5gd9zWocVa7Ink1n5+RutZFD93up5LWPP583yuP5n5CffGzxRssnSvMk0eQ/P29yqx44VC+zK5Zqs6Nq9Vw3afkNbYMPlbgCKrnr1EMa1M+sl+xEb4i9cEvz0i9FBvla+J7Oob82F3rorJo4S9tPyXtX1x4+4Erjtuvpriv//e1TZo0I6mGJl/xOqf6JqfE+KwmvX//kMfs79+r1KInlfrDE/L37Oh328zqxX3ecLvz//5F3Q/+IuhC0ptz8vftKVgcP2++6ua/V5GZpygy9QQlLnqb6q68nlsIAECVSe+OqHNVbMBFnCTtfzmhrbc1yk9K2U6Tnwzy5Gv/0jp0gR6FeEN9n+uix/c/e/JARKb10bskGlV05ikD3o/f2aHM8oU9b7njnJRJKc14O5QJV+Qw9MypeU5K1qshzYtKrfOS2vDDoT18tsPTjvvrNfrNXYdaIP2MlD3gaefDheMJWhK+/uqcHTrzLe2KJnqu82JS6zlJrf/B0MWbWr5QqSfuluQk55R67mHFzrhQibMvLrq9RaMKRr73KlazGRXpPXNYJBp0pey9PzNFp56g6FSuwAHAcLTj/kbteqxe9dMyyrR7Sm6tnj8H57zzEm38wwr5qV4NlNGY4ufNH/T+veZWxc+5NBhv5/tB8RWNKnbyPEXGThrwfvzd26RItLChNJtVdsvaQccJDET1/OSiNpVpgqwtv2xS1/qYxlwRzNa176WEtt3Z2Od4gETUyYsUD24oL0z5nfuDIq5HYvCV/sMTis6YrcjoCQXvib7uDKWX9WoVPBLPk8XrFJ/z+sEHDQAIHb/bq8p7x8288CyNu/CN2vr4ozIz+VlfisZU/7Y/kVeKrpWS4nMvUHTqCUq/+rLkZxU97hRFxk4+qn14zW3Fe7uYyWsdU5I4gSOhkMPQc6Z9L8XVclpKlveN89PS3mcTfb+vpEx7F9Rp74IjDwQ/aN9LcY04veeVRJeV9i0ausSXXbui+CDsbEaZVS8XLeQiYyYpftablHr+keC9ZkFRV2wMgEyqb1D0uDmKn/XGkt6TBwCAwTIzHff+6zXpzfPVvnKFNmzqVGTKLFmktH+yeiPHKXHOpcf+/hEjFZkwPbj6ll/QRaKKzT1/8AECA0Ahh7LY8ONmzfrKnuDeNTHJT5vSuz1t/t+mQe3XIk5jr+zUqDd1yWJO7QsT2npbkzL7Bn/ZbNMtzWo8bo+8Ol+ReinbFbRgbry5edD77lPR4ktHvHIZP+NCRU+Yq+z6V6RoTP6BdqWff7TwKl0kooZrPsmNTwEAVa1u7DjVjR2nLQvWVjqUPtXNf6+6H79D2TVLJUnW2KLERW9TZNT4CkeGWjGoQs7MRkq6VdJ0SWslvcs5VzB7gpllJS3OvVzvnHvrYI6L8MnsjWj5Z0ZpxOlJJSZk1b0xqn0vxSU3uNsPTP90u5pnp+TlLuyNvLBbLaeltOKzo+QnB7fv9O4g5tZzu1U3JaPuDVHtXVA36P32JzLjJOnJewtXRKOKHj+n3/d6TSPkzT5bkuTSSWWWPi/X0X54Fq5oTLGTzqKIA8qEHAmEk8ukJbMjXgW0eEL1l10XbJ9OSXUNsmK9aoAhMtgrcp+X9Ihz7ptm9vnc688V2a7LOTd3kMdC2GVN7QsH3rXxSOqmZNSUV8RJwQQqkSZfba/v0q7HBt9t0E+adv+u7xm0Ss1raFb8grco9ft7clfnnGSeYnMv6HG/tyOxWEIN7/yEUi/9Xpk1S2TxOsXmnKfoCXOHLHYABciROCZNs1Oa8K4OJcZn1b0loq2/alLHsuobzzbc+Ht2qPux2+Vv2yCZKTL1dUpcdLW8hv57D1k0JkULZ8EGhtpgC7mrJF2Ue36LpMdVPEkBJdcwI61id+iO1EmNJ2S067Hyx1QK8dlnKzrleGVWL5F8X9HpJ8kbOfao92N19Uqce5kS5142BFECGAByJI5a82lJzfhU+6FGyqbmjGb+1V699u8jtH9RucaV1x6X7FLnr38gJbt1cNbo7LqV6rrzRjW8+y+4BQ+q0mC/leOcc1tyz7dKGtfHdnVmttDMFpjZ2wZ5TECScjcuLezCkE1K3Vsrf1PTwfCa2xSfe4HiZ1x4TEUcgKpAjsRRm/S+jh49TSTJS0iT3jv0912tZemVf8hNWpI3KN35cgf2K7txTcXiAvpzxCtyZvawpGKjNr+Y/8I558ysrykZpjnnNpnZTEmPmtli59zqPo53g6QbJGl8gpYn9K1jRUzpPZ4slpWX/032TbsfL10XTgDoSzlzJPmxNiTGF78BaGJCfzcGxWD5u7cXv42P8+Xad0pTji9/UMARHLGQc85d0tc6M9tmZhOcc1vMbIKk7X3sY1Pu3zVm9rik0yUVLeScczdKulGSZrc0lekuYwglZ1r19VZN/fg+Nc0Ofvkmt0S0/gctyrSH+4ocgHAoZ44kP9aGzD5TrLXw482007VvKEXGTVbmlZekTK8bkZvJG1V46x+gGgz2t8Ldkq7PPb9e0l29NzCzNjNL5J6PlvQGScsGeVxAkpRpj2jNt9q05GOjtfQTo7Xy86PUtZYBxwCqAjkSR23bXY3Kdvdclu2Wtt7FfT+HUvT4U2WJOil/LFwkKm/keHnjp1YuMKAfgy3kvinpUjN7VdIludcys7PM7KbcNidJWmhmiyQ9JumbzjmSFErK7/aU7aC1EkBVIUfiqO18sF7b7mxUttPkp6Rsp2nbnY3a9VD5ZlCuRRaLq/6aTygy61QplpAS9Yqdco7q3/phbimAqjWoWSudc7skXVxk+UJJH809f1pS/zfAAgBgmCFH4tiYtt/TqO33NSja6JQ5YFKWQqIcvIZm1V/yrkqHAQzYYG8/AAAAgFLLmjL7KOAA9I2+aEAZLN07rc91Ly1YW75AAACosC1T5vW57sXlzOMDDBRX5IBjcNz803u8jp/9+kPPeyeo/CKud4KiiAMADDf5OTI/P0o9c2TvRk5yJHB0KOSAozTQBCVRxAEAakd/jZzSwIs48iMwMBRywACRoAAAKI6eKkD5UcgBA0CCAgCguFJ0pSQ/AkePQg44AhIUAACFaOQEKotCDugDCQoAgOKY0ASoPAo5oAgmNAEAoBDjxYHqQSEH5CFBAQBQHD1VgOpCIQfkkKAAACiO8eJA9aGQA0SCAgCgGBo5gepFIYeaRoICAKA4JjQBqhuFHGoWE5oAAFCI8eJAOFDIoeaQoGqLy6SVWfWyMutWymtsUezkc+S1jal0WABQleipAoQHhRxqCgmqtrh0Sp23/5fcvt1SJq2seUove151l1yr6MzZlQ4PAKoK48WBcKGQQ80gQdWe9OJn5Np3SdlMsMD5UsZX96O3qXHaF2WRSGUDBIAqQCMnEE4Uchj2SFC1K7N68eEiLp9z8ndtUWTs5PIHBQBVhAlNgPDyKh0AMJQo4mpcLFF8ufNl0Xh5YwGAKkMRB4QbhRyAYSs+51wpGuu11GRNrTImPAEAACFGIQdg2IrMPEWx2WdLkagUi0uxhKyxRfV//AGZWaXDAwAAOGaMkQMwbJmZEudfqdhp5yu7dZ2svkmRiTNkHm1YAAAg3CjkAAx7XnOrvObWSocBAABQMhRyAAAAwDHI7tys9JLn5Do7FJ1xoqKzTpMVjM0GhgaFHAAAAHCU0itfVPJ3dwW3uXFO2Y2vKr34GdW//eMUcygLBooAAAAAR8GlU0r+7m4pk5Zc7nYMmbT8vTuVXr6wssGhZlDIAQAAAEchu32j5BWZ/TiTVmbV4vIHhJpEIQcAAAAcBYsnDl+J670uUVfmaFCrKOQAAACAo+CNniirayxcEY0pdsp55Q8INYlCDgAAADgKZqb6Kz8oa2yRYongEYkqNvcCRafOqnR4qBHMWgkAAAAcJa9tjBo+8Fn5m9fKdXfKmzBdXkNTpcNCDaGQAwAAAI6BmafIpJmVDgM1iq6VAAAAABAyFHIAAAAAEDKDKuTM7BozW2pmvpmd1c92881spZmtMrPPD+aYAACEATkSADCUBntFbomkt0t6oq8NzCwi6XuSLpc0W9K7zWz2II8LAEC1I0cCAIbMoCY7cc4tl4IpWPsxT9Iq59ya3La/kHSVpGWDOTYAANWMHAkAGErlGCM3SdKGvNcbc8sAAKh15EgAwDE54hU5M3tY0vgiq77onLur1AGZ2Q2SbpCk8YlEqXcPAEDJlDNHkh8BAPmOWMg55y4Z5DE2SZqS93pybllfx7tR0o2SNLulyQ3y2AAADJly5kjyIwAgXzm6Vj4vaZaZzTCzuKTrJN1dhuMCAFDtyJEAgGMy2NsPXG1mGyWdJ+k3ZvZAbvlEM7tPkpxzGUmflPSApOWSfumcWzq4sAEAqG7kSADAUBrsrJV3SLqjyPLNkq7Ie32fpPsGcywAAMKEHAkAGErl6FoJAAAAACghCjkAAAAACBkKOQAAAAAIGQo5AAAAAAgZCjkAAAAACBkKOQAAAAAIGQo5AAAAAAgZCjkAAAAACBkKOQAAAAAIGQo5AAAAAAgZCjkAAAAACBkKOQAAAAAIGQo5AAAAAAgZCjkAAAAACBkKOQAAAAAIGQo5AAAAAAgZCjkAAAAACBkKOQAAAAAIGQo5AAAAAAgZCjkAAAAACBkKOQAAAAAIGQo5AAAAAAgZCjkAAAAACBkKOQAAAAAIGQo5AAAAAAgZCjkAAAAACBkKOQAAAAAIGQo5AAAAAAgZCjkAAAAACBkKOQAAAAAIGQo5AAAAAAgZCjkAAAAACBkKOQAAAAAImUEVcmZ2jZktNTPfzM7qZ7u1ZrbYzF4ys4WDOSYAAGFAjgQADKXoIN+/RNLbJf1wANu+0Tm3c5DHAwAgLMiRAIAhM6hCzjm3XJLMrDTRAAAwTJAjAQBDqVxj5JykB83sBTO7oUzHBAAgDMiRAICjdsQrcmb2sKTxRVZ90Tl31wCPc75zbpOZjZX0kJmtcM490cfxbpB0gySNTyQGuHsAAMqvnDmS/AgAyHfEQs45d8lgD+Kc25T7d7uZ3SFpnqSihZxz7kZJN0rS7JYmN9hjAwAwVMqZI8mPAIB8Q9610swazaz54HNJlykYAA4AQE0jRwIAjtVgbz9wtZltlHSepN+Y2QO55RPN7L7cZuMkPWlmiyQ9J+k3zrnfDua4AABUO3IkAGAoDXbWyjsk3VFk+WZJV+Ser5F02mCOAwBA2JAjAQBDqVyzVgIAAGCYeWnB2kqHANQsCjnUjPjZr+9z3dK908oYCQAAlXXc/NP7XLdlyrwyRgLgWA2qayVQrXonqPwirneC6l3Evbj88GRwtDQCAIab/BzZu5GzvxyZnx8lciRQaRRyGHaOtYgjQQEAhruBFnE0cgLVj0IOwwoJCgCAQjRyAsMPhRyGBRIUAADFlaKRUyJHAtWGQg6hR4ICAKAQ48WB4Y1CDqFFggIAoDgmNAGGPwo5hBJdKQEAKI7x4kBtoJBD6JCgAAAoRCMnUFso5BAaJCgAAIpjvDhQeyjkEAokKAAACjFeHKhdFHKoaiQoAACKY0IToLZRyKFq0ZUSAIDiGC8OgEIOVYkEBQBAIRo5ARxEIYeqQoICAKA4xosDyEchh6pBggIAoBDjxQEUQyGHiiNBAQBQHBOaAOiLOeeOvFWFmNkOSesqHUcJjZa0s9JBlAnnOnzV0vnW0rlKlT3fac65MRU6duiQH0Ovls6Xcx2+aul8K32uRXNkVRdyw42ZLXTOnVXpOMqBcx2+aul8a+lcpdo7X1SPWvvu1dL5cq7DVy2db7Weq1fpAAAAAAAAR4dCDgAAAABChkKuvG6sdABlxLkOX7V0vrV0rlLtnS+qR61992rpfDnX4auWzrcqz5UxcgAAAAAQMlyRAwAAAICQoZAbImZ2jZktNTPfzPqc5cbM1prZYjN7ycwWljPGUjqK851vZivNbJWZfb6cMZaKmY00s4fM7NXcv219bJfNfa4vmdnd5Y5zsI70WZlZwsxuza1/1symVyDMkhjAuX7QzHbkfZ4frUScpWBmPzaz7Wa2pI/1Zmb/kfu/eNnMzih3jBj+ailH1lJ+lGojR9ZSfpRqJ0eGMT9SyA2dJZLeLumJAWz7Rufc3Gqc1vQoHPF8zSwi6XuSLpc0W9K7zWx2ecIrqc9LesQ5N0vSI7nXxXTlPte5zrm3li+8wRvgZ/URSXucc8dL+ldJ3ypvlKVxFN/LW/M+z5vKGmRp3Sxpfj/rL5c0K/e4QdJ/lSEm1J5aypG1lB+lYZ4jayk/SjWXI29WyPIjhdwQcc4td86trHQc5TLA850naZVzbo1zLiXpF5KuGvroSu4qSbfknt8i6W2VC2XIDOSzyv9/uE3SxWZmZYyxVIbL93JAnHNPSNrdzyZXSfqJCyyQ1GpmE8oTHWpFLeXIGsuP0vDPkbWUH6Xh9d3sVxjzI4Vc5TlJD5rZC2Z2Q6WDGWKTJG3Ie70xtyxsxjnntuSeb5U0ro/t6sxsoZktMLO3lSe0khnIZ3VoG+dcRlK7pFFlia60Bvq9fEeuK8VtZjalPKFVxHD5OcXwUCs5cjj93A33HFlL+VEiR+arup/TaCUPHnZm9rCk8UVWfdE5d9cAd3O+c26TmY2V9JCZrci1CFSdEp1vKPR3rvkvnHPOzPqa+nVa7rOdKelRM1vsnFtd6lhRFvdI+rlzLmlmH1PQ0vqmCscEVLVaypG1lB8lciQKkCMrhEJuEJxzl5RgH5ty/243szsUXMKuuiQlleR8N0nKb6WZnFtWdfo7VzPbZmYTnHNbcpfUt/exj4Of7Roze1zS6ZLCkqQG8lkd3GajmUUljZC0qzzhldQRz9U5l39eN0n6dhniqpTQ/JyiutVSjqyl/CjVfI6spfwokSPzVd3PKV0rK8jMGs2s+eBzSZcpGBQ9XD0vaZaZzTCzuKTrJIVqpqqcuyVdn3t+vaSC1lYzazOzRO75aElvkLSsbBEO3kA+q/z/h3dKetSF88aURzzXXn3g3yppeRnjK7e7JX0gNzvXuZLa87pJAWVTYzlyuORHafjnyFrKjxI5Ml/15UfnHI8heEi6WkHf2aSkbZIeyC2fKOm+3POZkhblHksVdMGoeOxDdb6511dIekVBq1soz1dBP/dHJL0q6WFJI3PLz5J0U+756yUtzn22iyV9pNJxH8N5FnxWkr4m6a2553WSfiVplaTnJM2sdMxDeK7fyP2MLpL0mKQTKx3zIM7155K2SErnfmY/Iunjkj6eW28KZihbnfvunlXpmHkMv0ct5chayo+58xj2ObKW8uMAz3dY5Mgw5kfLBQYAAAAACAm6VgIAAABAyFDIAQAAAEDIUMgBAAAAQMhQyAEAAABAyFDIAQAAAEDIUMgBAAAAQMhQyAEAAABAyFDIAQAAAEDI/H/k+e7g4yAsTAAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 1080x360 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1080x360 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "model=svm.LinearSVC()\n",
    "model.fit(data_train[0],data_train[1])\n",
    "acc_train=model.score(data_train[0],data_train[1])\n",
    "acc_test=model.score(data_test[0],data_test[1])\n",
    "X0,X1=data_train[0][:,0],data_train[0][:,1]\n",
    "xx,yy=svm_utils.make_meshgrid(X0,X1)\n",
    "Z=model.predict(np.c_[xx.ravel(),yy.ravel()])\n",
    "Z=Z.reshape(xx.shape)\n",
    "fig,ax=plt.subplots(1,2,figsize=(15,5))\n",
    "ax[0].contourf(xx,yy,Z,cmap=plt.cm.coolwarm)\n",
    "ax[0].scatter(data_train[0][:,0],data_train[0][:,1],c=data_train[1])\n",
    "ax[0].set_title(\"acc on train data sets\" +str(acc_train))\n",
    "ax[1].contourf(xx,yy,Z,cmap=plt.cm.coolwarm)\n",
    "ax[1].scatter(data_test[0][:,0],data_test[0][:,1],c=data_test[1])\n",
    "ax[1].set_title(\"acc on test data sets\" +str(acc_test))\n",
    "\n",
    "dt=data_train\n",
    "ds=data_test\n",
    "data_train=data_train_mf\n",
    "data_test=data_test_mf\n",
    "\n",
    "model=svm.LinearSVC()\n",
    "model.fit(data_train[0],data_train[1])\n",
    "acc_train=model.score(data_train[0],data_train[1])\n",
    "acc_test=model.score(data_test[0],data_test[1])\n",
    "X0,X1=data_train[0][:,0],data_train[0][:,1]\n",
    "xx,yy=svm_utils.make_meshgrid(X0,X1)\n",
    "Z=model.predict(np.c_[xx.ravel(),yy.ravel()])\n",
    "Z=Z.reshape(xx.shape)\n",
    "fig,ax=plt.subplots(1,2,figsize=(15,5))\n",
    "ax[0].contourf(xx,yy,Z,cmap=plt.cm.coolwarm)\n",
    "ax[0].scatter(data_train[0][:,0],data_train[0][:,1],c=data_train[1])\n",
    "ax[0].set_title(\"acc on train data sets by mf\" +str(acc_train))\n",
    "ax[1].contourf(xx,yy,Z,cmap=plt.cm.coolwarm)\n",
    "ax[1].scatter(data_test[0][:,0],data_test[0][:,1],c=data_test[1])\n",
    "ax[1].set_title(\"acc on test data sets by mf \" +str(acc_test))\n",
    "\n",
    "data_train=dt\n",
    "data_test=ds"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "sealed-horror",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAA3IAAAE/CAYAAAADjvF6AAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjQuMCwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8+yak3AAAACXBIWXMAAAsTAAALEwEAmpwYAABEk0lEQVR4nO3deZxcVZn/8e9za+s16c5K9gWCEAiELYDIgLIYGBRRERQd3Aadn844/pxRR2dGx3HcZvzNpo4y6oA6KoKyyr7LEiAsISuQhITsezrpdHdt9/z+qEpS3V29pdZb9Xm/XvVK1b237n1uV3c9ec4951xzzgkAAAAAEBxepQMAAAAAAIwMhRwAAAAABAyFHAAAAAAEDIUcAAAAAAQMhRwAAAAABAyFHAAAAAAEDIUcUCJm9iUz+3GR9vVhM3uiGPsCACDoyIsAhRyQl5k9amYfL2QfzrlvOOcK2seRMLOvmtkvKnDcG8zs6yPY/rNmttXM9pnZT80sNsi2Hzez1WbWaWb3mtnk4kQNADhSxciV2f2cb2YbixHTAPsnL6ImUcgBR8DMwpWOIcjM7O2SvijpAkkzJM2W9A8DbHu+pG9IulzSGEmvS/pVOeIEAKAcyIs4EhRyKBsz+6KZrTGz/Wa2wsyu6LP+T81sZc76U7PLp5nZ78xsh5ntMrPvDbD/mJn9m5ltzj7+7WBr1sHWPjP7nJltN7MtZvaRAfbzT5LOlfS9bEvX97LLnZl9ysxek/Radtm/m9mGbOvZ82Z2bs5+DrUAmtnM7PuvNbM3zGynmX15kJ/VWDO7I7vfZyUd3Wd93uOa2UJJX5J0VTb2JdnlH8n52a41s08McuxjzOwxM+vIxnlTzrrjzOwBM9ttZq+Y2fuyy6+TdI2kz2ePe2d2+RfMbFP2uK+Y2QXZXV0r6SfOueXOuT2S/lHShwcI6TJJN2e3TWS3/SMzO3qA7QEgsGogV+bNE9l1l2Zj3p/NDX9lZs2S7pE0ObufTstzdYm82At5ERnOOR48yvKQdKWkyco0IFwl6YCkSTnrNkk6Q5JJOkaZFqmQpCWS/lVSs6QGSW8ZYP9fk7RI0gRJ4yU9Jekfs+vOl5TKbhORdKmkLkntA+zrUUkf77PMSXpAmdavxuyyD0oaKyks6XOStkpqyK77qqRfZJ/PzL7/vyU1SjpZUlzS8QMc/9eSfpM95xOzP5snctYP67g52/+xMknPJJ2XPfdTBzj2ryR9Ofs5Hfp5Z2PZIOkj2eOeImmnpLnZ9TdI+nrOft6U3X5yzs/g6OzzJZKuytl2XPbnMzZPPP8i6Qc5r6dkt7280r/TPHjw4FHshwKcK4eRJ7ZIOjf7vP1gHsoed+MQPxfy4uF15EUecs5xRQ7l45y72Tm32TnnO+duUuaq1oLs6o9L+o5z7jmXsdo5tz67frKkv3bOHXDO9TjnBhrcfI2krznntjvndijTJeFDOeuT2fVJ59zdkjqV+VIdiW8653Y757qz5/QL59wu51zKOfddSbEh9vkPzrlu59wSZb60T+67gZmFJL1H0t9nz3mZpBtztxnpcZ1zv3fOrcn+bB+TdL8yLan5JJX5j8HkPj/vyyStc879T/a4L0r6rTL/scgnnY1rrplFnHPrnHNrsutaJHXkbHvweWue/dwr6X1mdpKZNUr6e2USVtNA5wsAQRXwXDlUnkgqkxNGOef2OOdeGM5OyYv9kBchia6VKCMz+xMze8nM9prZXmVa1MZlV0+TtCbP26ZJWu+cSw3jEJMlrc95vT677KBdffbTpcwX50hsyH2R7RayMtvdYq+k0Tp8TvlsHcbxxyvTspd7rNzzGvFxzewSM1uU7fqxV5lW1oG2/7wyLZTPmtlyM/todvkMSWce/Pyy+7lG0lH5duKcWy3pL5VpCd1uZr/O6S7TKWlUzuYHn+/Ps58HJX1FmeS4LvvYL6lkA+MBoFICniuHyhPvUSb/rM92VTx7mPslL/beD3kRkijkUCZmNkOZboWfVqabQJukZcp8MUqZL+d8fbs3SJpuw5tcZLMyX6oHTc8uOxJuqOXZ/vefl/Q+ZbqdtCnTgmb53zpsO5Tp2jItZ9n0ERy3V+yWGfvwW2W6YkzMbn/3QHE657Y65/7UOTdZ0ick/cDMjlHms3jMOdeW82hxzv1ZvuNm9/VL59xblPlcnKRvZ1ctV++rkSdL2uac2zVATN93zs1xzk3MnktYmd8fAKgZNZArB80T2SuJlyvTrfM2ZbpK5ttPX+TF/vshL4JCDmXTrMwX1g4pM8hYmVbGg34s6a/M7DTLOCab0J5Vpk/9t8ys2cwazOycAY7xK0l/a2bjzWycMl0NjnS64W3KzBg1mFZlEssOSWEz+3v1bk07Is65tKTfSfqqmTWZ2VxlBkEP97jbJM00s4N/31FlunLskJQys0skXTzQ8c3sSjObmn25R5nPzZd0l6RjzexDZhbJPs4ws+Nzjjs7Zz9vMrO3ZRNmj6Tu7H4k6WeSPmZmc82sTdLfKjOWIF88DWZ2Yvb3Yrqk6yX9u8sMBgeAWhL0XDlgnjCzqJldY2ajnXNJSft0OCdskzTWzEbnOwh5sV885EVIopBDmTjnVkj6rqSnlflimyfpyZz1N0v6J0m/VKZ7wG2SxmS/vN+hzIDuN5TpNnDVAIf5uqTFkl6WtFTSC9llR+LfJb3XzPaY2X8MsM19yvRTf1WZLh496tP1sgCfVqYry1Zlvsj/ZwTHvTn77y4ze8E5t1/SXyjT8rlH0gck3THIsc+Q9IyZdWa3+4xzbm12PxdLulqZ1tutyrQkHrzPzU+U6fe/18xuyy7/ljIDv7cq0wL7N5LknLtX0nckPaLM57pemW4ikqRs15Vrsi8blPm96FTmPytPS/q7QeIHgEAKeq4cRp74kKR1ZrZP0ieV6YYo59wqZQrMtdkcku+eaORF8iL6MOeGupoNAAAAAKgmXJEDAAAAgIChkAMAAACAgKGQAwAAAICAoZADAAAAgIChkAMAAACAgBnOjSMrJtY4xjW1Tql0GACAEtu7Y9lO59z4SscRFORHAKgfA+XIqi7kmlqn6Pz3/a7SYQAASuy27x+7vtIxBAn5EQDqx0A5kq6VAAAAABAwFHIAAAAAEDAUcgAAAAAQMBRyAAAAABAwFHIAAAAAEDAUcgAAAAAQMBRyAAAAABAwFHIAAAAAEDAUcgAAAAAQMBRyAAAAABAwFHIAAAAAEDAUcgAAAAAQMBRyAAAAABAwFHIAAAAAEDAUcgAAAAAQMBRyAAAAABAwFHIAAAAAEDAUcgAAAAAQMBRyAAAAABAwFHIAAAAAEDAUcgAAAAAQMBRyAAAAABAwFHIAAAAAEDAUcgAAAAAQMBRyAAAAABAwFHIAAAAAEDAUcgAAAAAQMBRyAAAAABAwFHIAAAAAEDAUcgAAAAAQMBRyAAAAABAwRSnkzOynZrbdzJYNsN7M7D/MbLWZvWxmpxbjuAAAVDPyIwCgVIp1Re4GSQsHWX+JpDnZx3WS/qtIxwUAoJrdIPIjAKAEilLIOecel7R7kE0ul/Qzl7FIUpuZTSrGsQEAqFbkRwBAqZRrjNwUSRtyXm/MLgMAoJ6RHwEAR6TqJjsxs+vMbLGZLY53D9aICQBA/SA/AgBylauQ2yRpWs7rqdll/TjnrnfOne6cOz3WOKYswQEAUCHkRwDAESlXIXeHpD/Jzs51lqQO59yWMh0bAIBqRX4EAByRcDF2Yma/knS+pHFmtlHSVyRFJMk590NJd0u6VNJqSV2SPlKM4wIAUM3IjwCAUilKIeece/8Q652kTxXjWAAABAX5EQBQKlU32QkAAAAAYHAUcgAAAAAQMBRyAAAAABAwFHIAAAAAEDAUcgAAAAAQMBRyAAAAABAwFHIAAAAAEDAUcgAAAAAQMBRyAAAAABAwFHIAAAAAEDAUcgAAAAAQMBRyAAAAABAwFHIAAAAAEDAUcgAAAAAQMBRyAAAAABAwFHIAAAAAEDAUcgAAAAAQMBRyAAAAABAwFHIAAADAIEJeSnMmr9LMiWskuUqHA0iSwpUOAAAAAKhW82cv1l9e8c8KeWmZnDp7WvXNm/5e67fPrnRoqHNckQMAAADyGDdqu/76vd9Qa2OnmmLdaoz1aOyoHfrqB7+kcChZ6fBQ5yjkAAAAgDzOP+kheV661zLPpLCX0mnHPFuhqIAMCjkAAAAgj7aW3YqGU/2We56vUU37KhARcBiFHAAAAJDHy2tPVXe8od9yM6cVb5xYgYiAwyjkAAAAgDwWv7ZA67bPUk8idmhZd6JBf1h2vjbtmlbByABmrQQAAADy8l1IX/3FN3XB/Pt03omPKJGK6v4XL9FTK86tdGgAhRwAAAAwkFQ6ovuev0z3PX9ZpUMBeqFrJQAAAAAEDIUcAAAAAAQMXSsBlI1zTsnlzyi55Em5nm6Fps5W7KyF8kaPqXRoAAAAgUIhB6BsEk/cpeTKxVIqKUlKr12urg2r1XT1Z+S1jK5wdAAAAMFB10oAZeG6O5Vc8dyhIi6z0EmppJJLnqxcYAAAAAFEIQegLNK7t0uhPJ0A/LTSW9aXPyAAAIAAo5ADUBZea5uUTvVfYSavbVzZ4wEAAAiyohRyZrbQzF4xs9Vm9sU86z9sZjvM7KXs4+PFOC6A4PBGjVFo8qz+V+VCYUVO4caqqF3kSABAKRQ82YmZhSR9X9JFkjZKes7M7nDOreiz6U3OuU8XejwAwdWw8APqefQ2pdcskyRZc6ti512h0NijKhwZUBrkSABAqRRj1soFklY759ZKkpn9WtLlkvomKQB1ziIxNV50ldz5V0iphNTQLDOrdFhAKZEjAQAlUYyulVMkbch5vTG7rK/3mNnLZnaLmU0baGdmdp2ZLTazxfHu3UUID0C1sUhU1thCEYd6ULQcSX4EAOQq12Qnd0qa6Zw7SdIDkm4caEPn3PXOudOdc6fHGrlJMACg5g0rR5IfAQC5ilHIbZKU23o4NbvsEOfcLudcPPvyx5JOK8JxAQCoduRIAEBJFKOQe07SHDObZWZRSVdLuiN3AzOblPPynZJWFuG4AABUO3IkAKAkCp7sxDmXMrNPS7pPUkjST51zy83sa5IWO+fukPQXZvZOSSlJuyV9uNDjAgBQ7ciRAIBSKcaslXLO3S3p7j7L/j7n+d9I+ptiHAsAgCAhRwIASqFck50AAAAAAIqEQg4AAAAAAqYoXSuB4Zp/1sxKh1AULy1aV+kQAAA1hhwJYCS4IoeyqZUEJWXOpZbOBwBQObWWU2rpXIBqRiGHsqjVL/VaPS8AQHnUah6p1fMCqgldK1FSfb/ITz3eKhNICbyw0knKnCPdSAAAI5WbI2s1P0p0tQRKhStyKJm+CaqWkpTUO+nWWrcYAEDp9M0ZtZgf++ZIAMXHFTkU3WBX4U5oW1/maEpj+d4Zkg6fG1fnAADDMVgBV4s5kqtzQOlwRQ5FVQ9FnNT/XLg6BwAYzFBX4Wo1R3J1DigdCjkUzWBdKWspQR10Qtv6fskqF8kKACAN3chZqzkyF8UcUHx0rUTBRnIVbtKGZ8sRUllsmbZAUuYc6WoJAMhnuFfhajU/SnS1BEqFK3IoyHCvwk3a8GxNJSmpd9Id7OocXS0BoP4M1pWyb86oxfzYN0ceRFdLoHi4IocjUshVuMRzT5UsrnKJnvFmSZlzO9jyKHF1DgAwsglNcnNkLeVHqXeO5OocUHxckcOIHWkRl3juqZpIUlLvZDtYy6PE1TkAqBcjmdCkb+6opfzYN0fm4uocUDwUchiRI+1KWSsJKtdgyYqJUACgvoxkQpNabeTMVUiDJ4DhoWslhqWQq3C51tz7YvGDq5CjF54iKXOOuV0tpdJNhPKmqSv0/vN+rmkT1mvzrin69WMf0vL1JxV8LgCAI3ekE5rUao7MzY9S/uEIdLUECscVOQypWFfhaiVBHZR7Pn3PtRQToZw4Y4m+8oG/1bxZL6utuUNzp6/Ql6/+qk49prYGyQNAUBQyoUlu3lhz74s1lSP7nstwr87R1RIYGa7IYUDFmtCklpJTJX34oh8rFo33WhaLxPXRi6/XC6sXDPAuAEApFGtCE3IkgCNFIYe86EpZfaaNz3/D2KPat8iztHwXKnNEAFB/BsuP0vC7UpIfS8MlE/J3bpZijfLaJ8jMhn4TEFAUcuinGH39SVDF13GgTWNH7eq3vLOnhSIOAMqARs7qlljxrBJP/F4yT3K+bFS7Gv/4Wnmt7ZUODSgJCjkcQoKqbrc8cZWuvfAnasjpXtmTiOm2p95bwagAoD4woUl1S299I1PEpZKHlrk9O9R95w1qev9fcmUONYlCDpJIUEFw/wuXqqWhU+8+52aZ+ZJMdz5zuW5/+j2VDg0AahbjxYMhsfRpKZXqvdA5uQMd8nduVmj8lMoEBpQQhVydI0EFiel3T12lOxa9W6Nb9qrjQJtS6UilgwKAmsWEJsHhDuyT5PqvMJPr7ip7PEA5UMjVMbpSBlPKj2jXvvGVDgMAahYTmgRPeObxSmzbKKWTvVek0wpNnHropb97m+LPPyJ/+yZ57RMUPe18hSZOK3O0QHFQyNUpJjQBAKA/GjmDKXLCGUouf0aus0NKZ7tYhiOKnvE2WaxRkpTevkndt12fWe+c0h271L1xtRoWXqPw9GMrGD1wZCjk6gwJCgCA/BgvHlwWianpyk8puewZpdaukDU2K3LS2QpPm3Nom/hTvSdDkSSlkor/4U6Fr/lcmSMGCkchV0dIUOjL79il1Jplkp9WaNZchcYe1Wu9S6ekVEoWa6hQhABQeowXrw0WbVD01PMUPfW8vOv97ZvyLnf7dsulkrIw484RLBRydYAEhXwSSxcp8dTdkvMz48Off0yR+ecodubFcsm44o/drtSapZJzslFj1HD+FQpNnlXpsAGgqJjQpH5YrEku1dF/RSgshbgfK4KHQq7G0ZUS+fidHZkiLp0zVXPaV3LJkwoffaIST92r9JbXpXRakuT27lT3XTeo6cpPy2tnohUAtYHx4vUlcsq5Siy6r3f3ynBEkRPOlJlXucCAI0QhV8NIUBhIet0qKd/NUVMpJZc9q/SWdYeKuMNvSimx5Ek1nP+ucoQIACVDI2d9isw7W+7APiVffkryQpKfVnjOyYqe9fZKhwYcEQq5GkSCqn0u0ZMZ0L1+laypVdGT3qzQpJnD30G+Ik6STHLJeKabSbr/jVX9PduPOOZicM4p9epLSi55Ui7RrfDM4xU97XxZY0tF4wIQHIwXr34hSygS6lJPanRR92tmip29UNHT3ip/3255LW2yhsaiHgMoJwq5GkOCqn0u3qOum/9T7sD+Q8VW9/pXFD3nUkVPOHNY+wjNOl564q7+K7ywInNPV3rt8jzrQgodNb2Q0AuWePJuJVc8e6hbTHLZM0qtWaamqz9zaHppAMiH8eLVz1NCc0d/Qxeff7vMfB2Ij9UPdl2nxa8NL7cNl0VjCo2bVNR9ApVAIVcjSFD1I7Hs6V5FnCQplVTiybsVOfYUWSQ65D68plZFz7tcicduzyxwTjJT9Iy3KjzlaIWPna/Ua0sOjyMwy4wjOOnNJTij4fG79iu5/Jne5+2n5Xq6lFz+7ICzlAFA3U9oEnKaePkBjbugW15M2v9yRJt/2arEzuqa4OOk9i9rYsODCntxSdLoxq367BXf1lf/9xt6bdNxFY4OqD5FKeTMbKGkf5cUkvRj59y3+qyPSfqZpNMk7ZJ0lXNuXTGODbpSBlk6kdAbt/5WnQ8/LKXTCs88TtGzF8prHjXwe15f2b/boyR5nvydm4fdxTJ63GkKTz1GqddXZMYJzDxe3uixkqTYee+S1zZeyaVPySV6FJp6jGJDxFVq/o7NmVnF+p57OqXUxtUUcqha5MjKYry4NPPTHRp1ckJeLPN61OkJtczdrZV/NVbpzuqY5CPi7dFRjQ8oZIley6PhhN5zzk361m++UqHIgOpVcCFnZiFJ35d0kaSNkp4zszuccytyNvuYpD3OuWPM7GpJ35Z0VaHHBoJuxXe/o32rX5OSmStfqddeVnrjGjVd839lkVje97iu/fl35vuyWNOIju+1jFZ03tn9lpvnKXrKuYqecu6I9ldK1twq+X6eFZ68UWPKHxAwDORIVFp0Ykqj5ifk5XTW8EKSok7jLujWttubKxZbrsbQVvku0q+Q8zynSWM2VygqoLoVoxlmgaTVzrm1zrmEpF9LurzPNpdLujH7/BZJF5gNNNsCUB/2r12r/WvXyCVzpkF2fmYik1deyvue9I7Ncl2deddZ8yh5YyaUINLq4I2dJG/0OKnvFNGhkCJ5ilGgSpAjUVGN01Jyqf6/Tl5MapqTzPOOyjiQmi5P6X7LU2lPr216UwUiAqpfMQq5KZI25LzemF2WdxvnXEpSh6SxRTg2EFgHNqzP3Ii7r1RS/vaNed+T3vBaZjxbHuFZxxcxuupjZmp4x0fkTZqRmVUzHJU1Nqvh4qsVGntUpcMDBkKOREXFt4Ulr3/e8JNSz4bqmSoh7Zq1tvPDSvmHJ67ynSmZiuq3T3CBGsinev6Cs8zsOknXSVJjy+QKR4Nq0XxsQhOvOKCGSWl1rQtr629bqioBHYmGCRNlXp5G91B4wJtuWzSW6ROT7tPF0AvJWtqKH2SV8Zpa1PSuP5XftV9KxGWjxsi86hjfAZQa+RFHomdDWN1vhNU0M9Wre6VLmXY+UF2z/b66/8/VnZ6kKbGfqDmyRxv2ztf3f/t+bdnTt+0DgFScQm6TpGk5r6dml+XbZqOZhSWNVmZAdz/OueslXS9J7RPm5b/0gLoy6pS4Zv55x6FB2pGxCbXO263V/9Su7rWRygZXgNFvOk7RMWPVs22rXO7Nt0NhRY47Le97wkfPU/ype/qv8DyFj5lXokirj9fUKjW1VjoMYDiKliPJjzhSa7/Tpqkf2a+2BXGZJ3VvCGvDT1qV3F1ds1ZKpg1dV+r25997aMmGneuKtvf0lvVKLn9GLt6j8NEnKjznJFko2I3CqG/F+O19TtIcM5ulTDK6WtIH+mxzh6RrJT0t6b2SHnZugP5hQC9OU67df6iIkzJDpEIN0uQPdGrN19srF1qBzPN00pf+Tq/95L+1e8mLkpO88ZMVe+u7ZY35B59bY7MaFl6jnvt+lbPUqeGiqzPFDYBqQ45Exfndnt74wWi98SMnC0kukX8IphdzGntBl9rOisvvMe18sFEdz8YkBX/IZuKlPyjx7INSKiXJKb1prZIrnlXj5X8qC1VbQQsMT8GFnHMuZWaflnSfMlMr/9Q5t9zMviZpsXPuDkk/kfRzM1stabcyiQwYkheTomPyzFQoqWlW9QzSPlKRUaM097Of04tPrs7MOjmMe8CFpx+r5o98SenNr0uSQpNnycLBvTIJ1DJyJKpK2uT6zyciSbKw05yv7FbsqPShxtOmo5PadWyjNv8i2A2FrqdLiWce6HP/1YT8nVuVWrNUkWPnVyw2oBBFuZ7snLtb0t19lv19zvMeSVcW41ioL35C8pOmUKh/43RqX+2MjbJQOPNfvOFuH44oPP3Yohw7vW2DUmtXSOGwInNOltc2rij7BZBBjkQQtJ3Vo+jEdK8eMKEGadwF3dpxT5OSu4J71Sq9+fXs+PI+9yFNJZRas4xCDoFFx2BUN2fa+WCDxl3UrVBOckn3SNvuGNk906qRKa3RDVvUFOtUV7yl7MfvefwOpVY9L6WSknlKvvCYom++VNF5Z5U9FgBA5Yw6OaFQQ//lLi01vympvU8Ft5BTNP99WWUmawj+/yVQvyjkUPW23NSicKuvMW+JZ2bed9L2u5q0+5Hqmm1rpI6fcJ8uOe4fFQn16JNnpfT86tP1vTv+r7oT5Ukq6S3rDxdxkuR8Ke0r8dTdCh99AmPuAKCOJPd68lOS1/d/hs6U6gh2D5jMEISwXDLeZ0VYkbkLKhMUUATB/stEXWg+Nqm2M+Ny6UyCcSmp9aSELMDDwqaMWqJ3nvAlNUf3KBrqViSc1KnHLNbn3vPNssWQWrM0O+i7DzOl179StjgAAJW36+FG9b0ft/OldI+pc0WAE64k80JqeMdHZY0tUiSWeYTCip69UKGJUysdHnDEuCKH6mZOM/98X6/uHqFGqWlGSmPf1qWd9+Wf3fGIeE7ypXLMznX2jJ8q7PVuGYyGkzph+lKNG7VdO/dNKHkM8gboJmOWmRoUAFCzLOrUdkZckfa0DrwW0YFXIlr3/dGa/ol9MpPkOSV3h/T6d0dLrnR5cdu6nXp96S61z5ystmlHlew4oXGT1HTtF5Xesk5KxhWaNFMWC3bPHoBCDlWtYVpKXqz/RCdeTJr8/gOacFm39i6KadutzUp3HVnx0XxcQlOv3a+GaWn5cdPOBxq05eYWKV28xOWcUzqZUiiS+ZNrb9ooz/qfVzIdUXvr7rIUcuFj5yu5bNHhrpWHg1V45vElP36p+Z0dUjqVuWm4BX/qbAAYDq/BV3Scr8QuT353/rzYMCWlY/5ujyzsZJFMT5eu1yJa+89tWvZn49Q0I6V03BTfFFKpGjeT8aR++Olf6JWn18jCEaVTKU1fME+XfPMzkkpzBdA8T+Eps0uyb6ASKORQ1VzapDwFjyR5kcytCcZd1K32t/Ro79MN6lwRUccLMckfXuJpmJbS7L/ee+iKX6jBafzF3QqPdtrwo1EFx+/7vu790aO6/78fV3dnXKMmjdO5n/2Qxp57usY1r1bY6921MRxKaeOO6QUfdzhC4yYpevpblXju4cwCM8k5xS64UtYQ3FZKf99u9dz3S/m7tx8ayN5w4fsUmjyr0qEBQOmY0+QPdGrchd1yaZOFnHY93KhNv2jpd0Vt5mc6FGp2hztfhDPDGMZd3KUd9zSra23pu1L+7jv36JWn1ygZT0nxTC5845mlevoHN6l54QdLfnygFtB/ClUtvimkVIcnl/9WcpIyBV241Wn827s1/ZP7dOzX9siiw7uX7sR3HpDXJ195Man9rB6FWgc56DDd8W8P6J7/ekTd+3sk57Rv8w7d97ff0333n6Nkulm+f/hPsCcR061Pvbdsk51IUvTU89X0gc8qds6lir3lMjX/yRcUOfrEsh2/2Jzvq/u2/5a/c0tmmulUUq6zQ9133Zi5QgcANWrCZV0a+7ZueVEp1OjkRaUx53dr4uVdvbaLjksrOi7drwe9F5PGnt9TtnifvGVxpojLkU4ktez2R8oWAxB0FHKocqbX/7VN6QOmdLfJTykzc2XfrbKNjaFGqWFySuP/+ICiE1PyGgcvxhqmpWR5hoq5lCk2foC7pg5TMp7SQzc8qUR3766LqXhCS3/+kP77mVv08tZ3al/PRK3dMls/uOszuvkPH5AkpXduUXzxw0q8+Lj8fXsKimMoXmu7IieepcjcM2SNRRxzWAHpjavl4j39f0n8tJIrF1cmKAAogwmXdvW7fUCoQRp/Se9CbtCekmXqhe6cU6InmXddqjuedzmA/uhaiarXsyGs5X8+TqNOiatlbkJjzu3Je6+bg7yYNOndXZp4WZfMk/YsatDGn7TKpfpnKJcyOXe4EDy8D6f4tsLumdO554BcvqpTUs/Wreromaw7V/yTJOmlResOrYs/dU9m7Fo6JZmnxLMPKnruOxSde0ZB8dQDd2Cf8l6+9dNy+0tbEANAJYWa8+ebzHKng1VaYoen5B5PsaN6f1f6cWn3HwZJrkVkZjr61BlavXhdv3WT57+pLDEAtYArcggElzR1PNugTTe2KrU/c6+bwZiXaYn0olL7mT2a+uH9ebeLjEn3K+IOSncV1jQ5amyLQqH8f2JNU6flP+a2DYcnIHFO8tNSOqXEH+6U39VZUDz1IDRxWv5LtpGoQlOOLn9AAFAm3W/kb5vveaPvhCWmdf85WukuUzrbgSHdnXn/jnvL17X//V+5XA3NMYUimUbTUCSsaHOjzv/rj5QtBiDoKOQQLM60+mvt6lodkZ+tdQa46HWIF5Paz+mRF/PVODOplrmJQzNh5psR8yAr8Hp1KBLSpZ96m6KNvQfhhWNRzXjv+/K+J7X65f6zSEqSedzbbRi8MRMVmnW8FM75mYdCsubRCgd47B8ADGXTz1vkxw93SnC+lI5LG3/W2m/b7nURLf+Lsdr8v63adluT1v3naL32D+1yyfLN8Dv1uEn66j3/Vxd8+BxNW3CiTn7/Jbrmpn/W2GPyN3QC6I+ulQic5O6QVv9juxpnJjXnK3vkRYf3vuO+vVuhFpfpShly2nRjiw68ElHrvGS/Qd89W0JFSWgXf/yP1DSqUXf/4GF17OjU2KOn6S1/+UFtbzo2/xvMlGk5zTcQsOBw6kLDhVcpufxZpZY/I5dOKXz0PEVP/SNZONg3tAWAwRx4JarX/qFdE684oMbpKXVvCGvbrc3qXpf/u8/v9jI3Aa+g9kmj9Z7PX6rle2dUNA4gqCjkEFh+3AadzTKXhaXIWL9XwTbl2k698cNRap6TkkWcvIgyk6mkpG23N8mLOfnxwqonM9O5Vy3QuVct6JWotq/MfyUwfMzJSi57Js+93XyFZxxXUCz1wjxP0XlnKTrvrEqHAgBl1b0+onX/1lbpMACUCYUcqk50fFpNs5NK7Aqpa3VYuZeimmYnNf7SLkXHpbV/WUTpTk+hht7V3MHull62aEsnMnvoe+XOC0ujTk5o1d+M0YRLu9R0dFJezCk2Ma1pH+2UfXy/dtzXqC2/6X8PnlIJTZiiyPxzlXzxceXOwhJ767sDP6MkAAAAiodCDtXDnKZdt1/tZ/XIpSSZlNwV0upvtCnVEVLbmd2a/on9skhmMpPGGSn58cwgbVlmLJzfI8W3hhXf5qn5mJQSO0PavyyiCZd2S33uLWchKTzaV3JnSJt+1qqJ7zqgCe84kC34MtuOu7hbqf2edtxdviIqtuBCRY6dr9S6VVIopPDsE+Q1F35zcgBAnTCn8Zd0afzbu+U1OnUuj2jzr1qU2M5/+4Bawl80qsbYC7rVtqAnU0hlr555R6U149P7tOabbZr60U55scPbe1FJnrT78QZ1rw8r0u7rwKsR7X85KjnTnp6QNu8Pa8KEpC54Z1e/46V7pH3PH75MN/6S/PfgmXBZV1kLOUny2sYpOv8tZT0mAKA2TPvYfrWdffhWPaNPS6hl7h6t+sIYpfYWdmsdANWDQg5VY/xF3f0KKQtLzXOSapqVlIX6jyvzwlLr3IQ2/uTwFSvfSTevHK2XdzQqZE7+Cmnff6R0xV/szFzNs8xMXoltIe1+4uBAbzfgPXjCLUNMi4lD0ptfV/zp++Tv3iavtU3RBRcpPHtupcMCgLoRaU9nZmrOGU5gIcmLOo1/e7e23NRSueAAFBW3H0DV8BoGKJh8yfdNNkAjYmp/71/jJzY0aemOBqV8UzztKeVM49+UVCpnSmbzpC23NOfMTGnq2Zj/AAPdmwe9pTetVfddN8jf9oaUjMvfvU09D96k5KoXKh0aANSNhqkp+XlmXfaimYZRALWDQg5Vo2NxTH6eHJPa76nn9bA6X4n0W5/ukbbf3fsGpk9valbSP/yrffnHdurMizoUbchcjTNP8iLSjD/bLwsfLh43/bw17z14Nv2c1svhiD99b//ZNlNJJZ6+V26om/0BAIoivj0kL9z/O9elpJ5NdKsEagmFHKrG1lublerwlO7JvPaTmULtjR+NkmRa/73R6loblh+XUgdMfkLa/vsmdTwb67WfeDo702Ojr3/65Rpd95XNivXpsnlQ87GHC4/O5VGt/nq79i2JKr7D074Xo1r9tXYdeGWYN6qrc/7u7XmXu3iXlEqUORoAqE+JbWF1vhqR3+dr109JO+5tyv8mAIFEnzFUjXSnp1VfGKMxf9SjlrkJxbeGteuhRiV2hA6tX/21MYpOTCnS7qvnjbDSXf3bIo4bE9cL2xp13Vc2ad5ZBxQaQQNk19qIXv+XtiKdUX2xllFye3f2XxGOZB4AgKJpnJXUxHd0KToxpQOvRrT9rmYld2US3rp/Ha2pH9mvtrPikkmJ7SFt+Emr4lv4bx9QS/iLRlXxezztvL9JO+8fuNUwsS2sxLaB93Hx7P1atTuqi963R7GBxt0pc5u2A69QYOTj/LT8Levl0mmFJs2QRYa+Khk940LFH/lt7+6V4Ygi88+VGRf/AaBYRp0S18w/7zh0O56GqWm1nxPXq3/XrsS2sPy4pzd+OFobfuxkESe/m+9goBZRyKHmtDX4+txZOxSN5i/inJP8uLTu30bLpQe+0fem/WFt7oxobGNas0YnDt6bu+alt21Q9+9vlNLpzJ3UfafYW9+tyJyTBn1fZM5JcskeJRbdLyXiUiisyCnnKnra+WWJGwDqg9PUj+7vfTuesCRzmnTlAa3/3ujDW6ZMLtU/eYWafY27uEuj5ieU3ONpxz1NDCMAAohCDjWpOSx1rQ2r+ZhUr+XOSfFtnl77SrvSnfn7XCbT0g1Lx2h9R0QmSSa1x9L6xCm71DxAcVgrXCqp7jv/R0r09Foef+S3Ck2YIm/02EHfH527QJHjT5ficSkalXkMrAeAYgqP9hVu8fst90JS6wlDj0cOtfh60zd3K9ziy4tmJvZqPSmhTT9r0e5Hq2cMXfe2bdry4P3qXrlG3qSZip6wQNZQvPhcd6dSr6+UfF+hmcfJaxk99JuAKsO1dtSsjf/TqnS3HZrp8uBslJF2X8f/y26NPr0n7/seWteidR1RJX1PCd9TIu1pR3dYt6wK/pe839Upf+9OOb//fwIkKb1+Vaba7ffGtJIrnx/WMcw8WUMjRRwAlIDf42V6S+TR93Y8+Yy/pOtQESdlumaGYtKUDx6QRaqjsXLvyhV64W/+Wpvvu0fpN15V8rmH1PWrf5Xf2VGU/SdfW6IDP/uO4k/cpfhTd6vrf7+rxJIni7JvoJwo5FCzutdFtOoLY7TzvkalujLLzDIJK9zqNOP/7FPjzP73O3huS5NSfu8s6TvTK7sbDt2Lrto455TatFY9f7hT8afvVXp370GErvuAuu/4ibp+/m11/eZ7OnDDN5Vau6L/fuI591/I5ftyPV2lCh8AMEx+3LT3mVi/WSnTPdL2u4a+YjX6lHivm4Uf4jL3oKu0VDyh5f/8bblUTix+Wq77gBLPPFDw/v2uTsUf/q2UTmXGdKeSUjqlxKL75O/JP/syUK3oWomysYhT2xlxxSal1LMxrI7FsUHHqBVDcldIux5r1LiLutV3vg0LS+MXduuNH/ae8CS3iDNzOuXcTk2b06ONr8VUjXWcc07xh27OFGaphGSekkufVvTsSxSdd5Ykqfv3N8rfuUXy05LSUiqhngdvUuO7P6HQuMmH9hWaOjv/FblwVOGZx5XpjAAAg9n401EKNXWo9cSEXMpkYaed9zdq9+MD3GsnR3Kfp0al+y23sFO6s/Lt+y/ddJ9c33uSZqXWrSp4/+l1K5V30LvvK/nay4otuHDY+3LOV3LpM0q+/KRcvEehqbMVO2uhvNFjCo4TGA4KOZRFZExac/5hj0KNTqFGp3S3NOkqT69+ZYzSw+gKUtCx2/1swdi7QLGQFB3fP5kdP65HS7Y1qrktrX/53WpNmJpUOOyUTkna42n1P7YrfaDyye6g9MY1h4s4KXNFLeUr8dTdCs+eK3/7Rvm7tmaLuNw3ppRc8qRCF1x5aJE3aowi885Wctmiw7NPhqMKHTVdoRnHlumMAACD8eOm17/bpsiYtCJjfMU3h/LejiefHXc3qXlOh0I5NZ+fkrrXhw/d7qeS1j763MArR3I/oYH46fwNls71z5NDiP/hLqVWPX8oX6bXLlfXxjVquvoz8ppHFR4rMITq+d8oatq0j+1XZLSvUGPmyzPUKEXG+pr8gc6SH7t7fVgW7v+l7Sek/Uv7337g0qP3qyXq6/98bZOmzIqrqcVXtMGpscUpdlRaUz60v+Qx+/v3KrHkCSVefFz+nh2Dbptas3TAG253/fL/qef+X2e6kPTlnPx9e/otjp69UA0Lr1Fo9okKTT9WsfPfpYbLruUWAgBQZZK7Q+paHRl2ESdJ+1+OaestzfLjUrrL5MczefL1/9dWukBHINrUOOC68DGDz548HKEZA/QuCYcVnn3isPfjd3UqtXJx71vuOCelEkoy3g5lwhU5lJ45tc5LyPo0pHlhqW1BXBt+VNrDpzs97binUePe3n2oBdJPSekDnnY+2H88waiYr786c4dOe0eHwrHe67yI1HZmXG/8sHTxJlYuVuLxOyQ5yTklnn1QkVPPU+yMC/Jub+GwMiPf+xSr6ZTy9J45LBTOdKXsuz8zhacfq/B0rsABQC3acU+zdj3SqMYZKaU6PMW3Vs9/B+e990JtfHGV/ESfBspwRNGzFxa8f6+1TdEzL8qMt/P9TPEVDitywgKFJkwZ9n783dukULh/Q2k6rfSWdQXHCQxH9fzloj6VaYKsLb9pUfcbEY2/NDNb176XYtp2W/OA4wFiYScvlD+4Ul6Y8rv2Z4q4XonBV/LFxxWeNVehcZP6vSf8plOVXNGnVXAonieLNig6782FBw0ACBy/x6vKe8fNPu90TTzvrdr66MMyM/lpXwpH1PiuP5VXjK6VkqLzz1V4+rFKvvay5KcVPvpEhSZMHdE+vNb2/L1dzOS1jS9KnMBQKORQes6076WoRp2ckOX8xvlJae8zsYHfV1SmvYsatHfR0APBD9r3UlSjT+l9JdGlpX1LSpf40utW5R+EnU4ptfrlvIVcaPwURU9/mxLPPZR5r1mmqMs3BkAmNTYpfPQ8RU9/a1HvyQMAQKHMTEd/6FpNeftCdbyyShs2dSk0bY4sVNz/snpjJip25kVH/v7RYxSaNDNz9S23oAuFFZn/lsIDBIaBQg5lseGnrZrz1T2Ze9dEJD9pSu72tPl/Wwrar4WcJlzWpbFv65ZFnDoWx7T1lhal9hV+2WzTja1qPnqPvAZfoUYp3Z1pwdx4Q2vB+x5Q3uJLQ165jJ56nsLHzlf6jVelcET+gQ4ln3u4/1W6UEhNV36aG58CAKpaw4SJapgwUVsWrat0KANqWHiNeh69Vem1yyVJ1jxKsfPfpdDYoyocGepFQYWcmY2RdJOkmZLWSXqfc67f7Almlpa0NPvyDefcOws5LoIntTeklZ8bq9GnxBWblFbPxrD2vRSVXGG3H5j52Q61zk3Iy17YG3Nej0adnNCqz4+VHy9s38ndmZjbzupRw7SUejaEtXdRQ8H7HUxo1vHSE3f1XxEOK3zMvEHf67WMljf3DEmSS8aVWv6cXGfH4Vm4whFFjj+dIg4oE3IkEEwulZTMhrwKaNGYGi++OrN9MiE1NMny9aoBSqTQK3JflPSQc+5bZvbF7Osv5Nmu2zk3v8BjIejSpo7Fw+/aOJSGaSm15BRxUmYClVCLr/Y3d2vXI4V3G/Tjpt2PDTyDVrF5Ta2KnvsOJf5wZ/bqnJPMU2T+ub3u9zYUi8TU9N5PKfHSH5Rau0wWbVBk3tkKHzu/ZLED6IcciSPSMjehSe/rVOyotHq2hLT15hZ1rqi+8Wy1xt+zQz2P/Fb+tg2SmULT36TY+VfIaxq895CFI1K4/yzYQKkVWshdLun87PMbJT2q/EkKKLqmWUnlu0N3qEFqPjalXY+UP6ZiiM49Q+Fpxyi1Zpnk+wrPPF7emAkj3o81NCp21sWKnXVxCaIEMAzkSIxY68lxzfpMx6FGypbWlGb/1V69/u+jtX9JucaV1x8X71bX734oxXt0cNbo9PpX1H3b9Wp6/19yCx5UpUJ/Kyc657Zkn2+VNHGA7RrMbLGZLTKzdxV4TECSsjcu7d+FIR2XerZW/qamhfBa2xWdf66ip553REUcgKpAjsSITflgZ6+eJpLkxaQp15T+vqv1LPnKi9lJS3IGpTtf7sB+pTeurVhcwGCGvCJnZg9Kyjdq88u5L5xzzswGmpJhhnNuk5nNlvSwmS11zq0Z4HjXSbpOkhpbht+VDPWnc1VEyT2eLJKWl/ub7Jt2P1q8LpwAMJBy5kjyY32IHZX/BqCxSYPdGBSF8ndvz38bH+fLdeyUph1T/qCAIQxZyDnnLhxonZltM7NJzrktZjZJ0vYB9rEp++9aM3tU0imS8hZyzrnrJV0vSe0T5pXpLmMIJGda/fU2Tf/kPrXMzXz5xreE9MYPRynVEewrcgCCoZw5kvxYH1L7TJG2/h9vqoOufaUUmjhVqVdfklJ9bkRuJm9s/1v/ANWg0G+FOyRdm31+raTb+25gZu1mFss+HyfpHEkrCjwuIElKdYS09tvtWvaJcVr+qXF65Ytj1b2OAccAqgI5EiO27fZmpXt6L0v3SFtv576fpRQ+5iRZrEHKHQsXCssbc5S8o6ZXLjBgEIUWct+SdJGZvSbpwuxrmdnpZvbj7DbHS1psZkskPSLpW845khSKyu/xlO6ktRJAVSFHYsR23t+obbc1K91l8hNSusu07bZm7XqgfDMo1yOLRNV45acUmnOSFIlJsUZFTjxTje/8KLcUQNUqaNZK59wuSRfkWb5Y0sezz5+SNPgNsAAAqDHkSBwZ0/Y7m7X97iaFm51SB0xKU0iUg9fUqsYL31fpMIBhK/T2AwAAACi2tCm1jwIOwMDoi1bHome8udIh1I3le2cMuO6lRevKFwgAYMSOXnhKpUOoKVumLRhw3QsrmccHGC4KuRrw0qJ1vYqB3C/B5Xtn9Coi+n555hZzJKrhO3rhKb1+Xrk/xy3TFvT6Oef+/F9Y6Xp9PhRxAFBaffNj3xx5UN/v7r6NneTI4eubH/vmyIP6/h+lbxFHjgQGRyFXQ4qRrPoWKOhvuAlK6l/E5SJBAUB5HGmDZ9/vePLj4AZr5JT6F3G5+jZykiOBoVHI1Zi+X3wkq+IZaYIaqIgjQQFAZdDgWTp9fyb0VAFKj0KuBg3W8iiRrI4ECQoAagMNnsVXjK6UNHICI0chV8OG2/IokawGQ4ICgNoy0gbPXDR4HsZ4caCyKORqHBOhHDkSFADUNiZCOXJMaAJUHoVcnWBcwMgwoQkA1AcmQhkZJjQBqgeFXB1hXMDQmNAEAOoTDZ5DY7w4UF0o5OoME6EMjAQFAPWNBs+BMV4cqD4UcnWKiVB6I0EBACQmQumL8eJA9aKQq2NMhEKCAgDkx0QoTGgCVDsKOdTtuAAmNAEADKZeJ0JhQhMgGCjkIKm+xgUwoUl9camkkqueV/d9v1T8ibvk79lR6ZAABEw9NXgyXhwIDnPODb1VhbRPmOfOf9/vKh1G3Zl/1sxDz0893nqtO6Ftfa/XkzY8e+h54rmneq1bc++LxQ+uQEMlqFxchQs+l0yo67f/Jbdvt5RKSuZJoZAaLrxK4dlzKx0ectz2/WOfd86dXuk4goL8WBm5+VEaPEfm5kepd46sxvwo9e+pkmskV+EAFNdAOZIrcuinVidCYUKT+pNc+rRcx65MESdJzpdSSfU8fItcOl3Z4AAETq1OhMJ4cSCYKOSQVy1NhEKCql+pNUuldKr/Cufk79pS/oAA1IRamgiFCU2A4KKQw6CCPi6ACU3qXCSWf7nzZeFoeWMBUFOCPhEKE5oAwUchhyEFcSIUJjSBJEXnnSWFI32WmqylTdY+viIxAagtQWzwZEIToDYw2QlGpFgToZQTV+Hql3NOiSd/r+TyZyXPk2SyaIMa3/VxeaPHVjo85GCyk5EhP1afYk2EUk5MaAIEw0A5kkIOIzZYshqsmJPKm6xIUDjI379X6a3rZY0tCk2eJfPojFBtKORGhvxYvYbb4FnpYo5GTiA4mLUSRVOsiVBKiW4iyOW1tiky52SFpx5NEQegpIo1EUqpMKEJUDvClQ4AwfXSonWHWh4PftkfbH1cvnfGoZbHg0niYOtjuZJV7rEPIkEBAErtYD7JzZG5+VFSrxxZifx48NgH0VPlyKR3blZy2bNyXZ0KzzpO4Tkny/qNzQZKg0IOBckt5qThJ6tyIEEBACrpSBs8S41GzuJIvvKC4o/dnrnNjXNKb3xNyaVPq/Hdn6SYQ1lQyKFgg7U8SvmTVTmRoAAAlTLSBs9yopHzyLlkQvHH7pBSycMLU0n5e3cquXKxovPOrlxwqBsMFkHRDHdcQLlwWwEAQDUYbGy5VLkceRDjxUcuvX2j5Fn/FamkUquXlj8g1CUKORTVSCZCKSUSFACg2lRDgycTmhSHRWPSADO/W6yhzNGgXtG1EiUx1LiAciFBAQCqyXAmQikXGjmPnDdusqyhWS6Z6L0iHFHkRLpVojy4IoeS6ZsU+hZVpUZXSgBAtRrs6lyp0VOlcGamxss+LGseJUVimUcorMj8cxWePqfS4aFOcEUOJZWv5bFSMQAAUE3yTYRS7uPjyHnt49X0J5+Xv3mdXE+XvEkz5TW1VDos1BEKOZRF32RVrmMCAFDN+jZ4lvu4KIyZp9CU2ZUOA3WKrpUom3J2byRBAQCCpJx5ixwJ1AauyKHsSCAAAPRHfgQwEgVdkTOzK81suZn5Znb6INstNLNXzGy1mX2xkGMCABAE5EgAQCkV2rVymaR3S3p8oA3MLCTp+5IukTRX0vvNbG6BxwUAoNqRIwEAJVNQ10rn3EopMwXrIBZIWu2cW5vd9teSLpe0opBjAwBQzciRAIBSKsdkJ1Mkbch5vTG7DACAekeOBAAckSGvyJnZg5KOyrPqy86524sdkJldJ+k6SWpsmVzs3QMAUDTlzJHkRwBAriELOefchQUeY5OkaTmvp2aXDXS86yVdL0ntE+aV/+7RAAAMUzlzJPkRAJCrHF0rn5M0x8xmmVlU0tWS7ijDcQEAqHbkSADAESn09gNXmNlGSWdL+r2Z3ZddPtnM7pYk51xK0qcl3SdppaTfOOeWFxY2AADVjRwJACilQmetvFXSrXmWb5Z0ac7ruyXdXcixAAAIEnIkAKCUytG1EgAAAABQRBRyAAAAABAwFHIAAAAAEDAUcgAAAAAQMBRyAAAAABAwFHIAAAAAEDAUcgAAAAAQMBRyAAAAABAwFHIAAAAAEDAUcgAAAAAQMBRyAAAAABAwFHIAAAAAEDAUcgAAAAAQMBRyAAAAABAwFHIAAAAAEDAUcgAAAAAQMBRyAAAAABAwFHIAAAAAEDAUcgAAAAAQMBRyAAAAABAwFHIAAAAAEDAUcgAAAAAQMBRyAAAAABAwFHIAAAAAEDAUcgAAAAAQMBRyAAAAABAwFHIAAAAAEDAUcgAAAAAQMBRyAAAAABAwFHIAAAAAEDAUcgAAAAAQMBRyAAAAABAwFHIAAAAAEDAFFXJmdqWZLTcz38xOH2S7dWa21MxeMrPFhRwTAIAgIEcCAEopXOD7l0l6t6QfDWPbtzrndhZ4PAAAgoIcCQAomYIKOefcSkkys+JEAwBAjSBHAgBKqVxj5Jyk+83seTO7rkzHBAAgCMiRAIARG/KKnJk9KOmoPKu+7Jy7fZjHeYtzbpOZTZD0gJmtcs49PsDxrpN0nSQ1tkwe5u4BACi/cuZI8iMAINeQhZxz7sJCD+Kc25T9d7uZ3SppgaS8hZxz7npJ10tS+4R5rtBjAwBQKuXMkeRHAECuknetNLNmM2s9+FzSxcoMAAcAoK6RIwEAR6rQ2w9cYWYbJZ0t6fdmdl92+WQzuzu72URJT5jZEknPSvq9c+7eQo4LAEC1I0cCAEqp0Fkrb5V0a57lmyVdmn2+VtLJhRwHAICgIUcCAEqpXLNWAgAAAACKhEIOAAAAAAKGQg4AAAAAAoZCDgAAAAAChkIOAAAAAAKGQg4AAAAAAoZCDgAAAAAChkIOAAAAAAKGQg4AAAAAAoZCDgAAAAAChkIOAAAAAAKGQg4AAAAAAoZCDgAAAAAChkIOAAAAAAKGQg4AAAAAAoZCDgAAAAAChkIOAAAAAAKGQg4AAAAAAsacc5WOYUBmtkPS+krHUUTjJO2sdBBlwrnWrno633o6V6my5zvDOTe+QscOHPJj4NXT+XKutauezrfS55o3R1Z1IVdrzGyxc+70SsdRDpxr7aqn862nc5Xq73xRPertd6+ezpdzrV31dL7Veq50rQQAAACAgKGQAwAAAICAoZArr+srHUAZca61q57Ot57OVaq/80X1qLffvXo6X861dtXT+VbluTJGDgAAAAAChityAAAAABAwFHIlYmZXmtlyM/PNbMBZbsxsnZktNbOXzGxxOWMsphGc70Ize8XMVpvZF8sZY7GY2Rgze8DMXsv+2z7Aduns5/qSmd1R7jgLNdRnZWYxM7spu/4ZM5tZgTCLYhjn+mEz25HzeX68EnEWg5n91My2m9myAdabmf1H9mfxspmdWu4YUfvqKUfWU36U6iNH1lN+lOonRwYxP1LIlc4ySe+W9Pgwtn2rc25+NU5rOgJDnq+ZhSR9X9IlkuZKer+ZzS1PeEX1RUkPOefmSHoo+zqf7uznOt85987yhVe4YX5WH5O0xzl3jKR/lfTt8kZZHCP4vbwp5/P8cVmDLK4bJC0cZP0lkuZkH9dJ+q8yxIT6U085sp7yo1TjObKe8qNUdznyBgUsP1LIlYhzbqVz7pVKx1EuwzzfBZJWO+fWOucSkn4t6fLSR1d0l0u6Mfv8RknvqlwoJTOczyr353CLpAvMzMoYY7HUyu/lsDjnHpe0e5BNLpf0M5exSFKbmU0qT3SoF/WUI+ssP0q1nyPrKT9KtfW7Oagg5kcKucpzku43s+fN7LpKB1NiUyRtyHm9MbssaCY657Zkn2+VNHGA7RrMbLGZLTKzd5UntKIZzmd1aBvnXEpSh6SxZYmuuIb7e/mebFeKW8xsWnlCq4ha+TtFbaiXHFlLf3e1niPrKT9K5MhcVfd3Gq7kwYPOzB6UdFSeVV92zt0+zN28xTm3ycwmSHrAzFZlWwSqTpHONxAGO9fcF845Z2YDTf06I/vZzpb0sJktdc6tKXasKIs7Jf3KORc3s08o09L6tgrHBFS1esqR9ZQfJXIk+iFHVgiFXAGccxcWYR+bsv9uN7NblbmEXXVJSirK+W6SlNtKMzW7rOoMdq5mts3MJjnntmQvqW8fYB8HP9u1ZvaopFMkBSVJDeezOrjNRjMLSxotaVd5wiuqIc/VOZd7Xj+W9J0yxFUpgfk7RXWrpxxZT/lRqvscWU/5USJH5qq6v1O6VlaQmTWbWevB55IuVmZQdK16TtIcM5tlZlFJV0sK1ExVWXdIujb7/FpJ/VpbzazdzGLZ5+MknSNpRdkiLNxwPqvcn8N7JT3sgnljyiHPtU8f+HdKWlnG+MrtDkl/kp2d6yxJHTndpICyqbMcWSv5Uar9HFlP+VEiR+aqvvzonONRgoekK5TpOxuXtE3SfdnlkyXdnX0+W9KS7GO5Ml0wKh57qc43+/pSSa8q0+oWyPNVpp/7Q5Jek/SgpDHZ5adL+nH2+ZslLc1+tkslfazScR/Befb7rCR9TdI7s88bJN0sabWkZyXNrnTMJTzXb2b/RpdIekTScZWOuYBz/ZWkLZKS2b/Zj0n6pKRPZtebMjOUrcn+7p5e6Zh51N6jnnJkPeXH7HnUfI6sp/w4zPOtiRwZxPxo2cAAAAAAAAFB10oAAAAACBgKOQAAAAAIGAo5AAAAAAgYCjkAAAAACBgKOQAAAAAIGAo5AAAAAAgYCjkAAAAACBgKOQAAAAAImP8PfqHaHd55bnQAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 1080x360 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1080x360 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "model=svm.SVC(gamma='scale')\n",
    "model.fit(data_train[0],data_train[1])\n",
    "acc_train=model.score(data_train[0],data_train[1])\n",
    "acc_test=model.score(data_test[0],data_test[1])\n",
    "X0,X1=data_train[0][:,0],data_train[0][:,1]\n",
    "xx,yy=svm_utils.make_meshgrid(X0,X1)\n",
    "Z=model.predict(np.c_[xx.ravel(),yy.ravel()])\n",
    "Z=Z.reshape(xx.shape)\n",
    "fig,ax=plt.subplots(1,2,figsize=(15,5))\n",
    "ax[0].contourf(xx,yy,Z,cmap=plt.cm.coolwarm)\n",
    "ax[0].scatter(data_train[0][:,0],data_train[0][:,1],c=data_train[1])\n",
    "ax[0].set_title(\"acc on train data sets\" +str(acc_train))\n",
    "ax[1].contourf(xx,yy,Z,cmap=plt.cm.coolwarm)\n",
    "ax[1].scatter(data_test[0][:,0],data_test[0][:,1],c=data_test[1])\n",
    "ax[1].set_title(\"acc on test data sets\" +str(acc_test))\n",
    "\n",
    "\n",
    "dt=data_train\n",
    "ds=data_test\n",
    "data_train=data_train_mf\n",
    "data_test=data_test_mf\n",
    "model=svm.SVC(gamma='scale')\n",
    "model.fit(data_train[0],data_train[1])\n",
    "acc_train=model.score(data_train[0],data_train[1])\n",
    "acc_test=model.score(data_test[0],data_test[1])\n",
    "X0,X1=data_train[0][:,0],data_train[0][:,1]\n",
    "xx,yy=svm_utils.make_meshgrid(X0,X1)\n",
    "Z=model.predict(np.c_[xx.ravel(),yy.ravel()])\n",
    "Z=Z.reshape(xx.shape)\n",
    "fig,ax=plt.subplots(1,2,figsize=(15,5))\n",
    "ax[0].contourf(xx,yy,Z,cmap=plt.cm.coolwarm)\n",
    "ax[0].scatter(data_train[0][:,0],data_train[0][:,1],c=data_train[1])\n",
    "ax[0].set_title(\"acc on train data sets by mf\" +str(acc_train))\n",
    "ax[1].contourf(xx,yy,Z,cmap=plt.cm.coolwarm)\n",
    "ax[1].scatter(data_test[0][:,0],data_test[0][:,1],c=data_test[1])\n",
    "ax[1].set_title(\"acc on test data sets by mf\" +str(acc_test))\n",
    "\n",
    "data_train=dt\n",
    "data_test=ds"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "complimentary-lloyd",
   "metadata": {},
   "outputs": [],
   "source": [
    "import qiskit as qk\n",
    "q=qk.QuantumRegister(2)\n",
    "c=qk.ClassicalRegister(2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "raising-alpha",
   "metadata": {},
   "outputs": [],
   "source": [
    "circuit=qk.QuantumCircuit(q,c)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "nutritional-conducting",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "         ┌───┐     ┌─┐   \n",
      "q0_0: |0>┤ H ├──■──┤M├───\n",
      "         └───┘┌─┴─┐└╥┘┌─┐\n",
      "q0_1: |0>─────┤ X ├─╫─┤M├\n",
      "              └───┘ ║ └╥┘\n",
      " c0_0: 0 ═══════════╩══╬═\n",
      "                       ║ \n",
      " c0_1: 0 ══════════════╩═\n",
      "                         \n"
     ]
    }
   ],
   "source": [
    "circuit.h(q[0])\n",
    "circuit.cx(q[0],q[1])\n",
    "circuit.measure(q,c)\n",
    "print(circuit)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "governmental-mouse",
   "metadata": {},
   "source": [
    "## Run the circuit on the quantum simulator\n",
    "In a next step we run this circuit on a quantum simulator. The measurements that we added before at the end of the circuit will measure if the single qubits are either in the state  |0⟩  or  |1⟩  by returning writing the classical bits 0 or 1 into the classical register."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "parliamentary-mambo",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'11': 56, '00': 44}\n"
     ]
    }
   ],
   "source": [
    "simulator=qk.BasicAer.get_backend('qasm_simulator')\n",
    "job=qk.execute(circuit,simulator,shots=100)\n",
    "result=job.result()\n",
    "counts=result.get_counts(circuit)\n",
    "print(counts)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "documentary-concentrate",
   "metadata": {},
   "outputs": [],
   "source": [
    " from qiskit.aqua.components.feature_maps import   SecondOrderExpansion   \n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "instant-crisis",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "chronic-county",
   "metadata": {},
   "outputs": [],
   "source": [
    "feature_map=SecondOrderExpansion(feature_dimension=2,depth=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "institutional-terry",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "        ┌───────────────┐┌─────────────┐ ░                 ░      »\n",
      "q_0: |0>┤ U3(pi/2,0,pi) ├┤ U3(0,0,1.2) ├─░─────────────────░───■──»\n",
      "        ├───────────────┤└─────────────┘ ░ ┌─────────────┐ ░ ┌─┴─┐»\n",
      "q_1: |0>┤ U3(pi/2,0,pi) ├────────────────░─┤ U3(0,0,0.6) ├─░─┤ X ├»\n",
      "        └───────────────┘                ░ └─────────────┘ ░ └───┘»\n",
      "«                         ░ \n",
      "«q_0: ────────────────■───░─\n",
      "«     ┌────────────┐┌─┴─┐ ░ \n",
      "«q_1: ┤ U1(14.444) ├┤ X ├─░─\n",
      "«     └────────────┘└───┘ ░ \n"
     ]
    }
   ],
   "source": [
    "x=np.array([0.6,0.3])\n",
    "print(feature_map.construct_circuit(x))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "solar-employee",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "size training set is 40\n",
      "metix demision is  (40, 40)\n",
      "test accuray is  0.9\n"
     ]
    }
   ],
   "source": [
    "from qiskit.aqua.algorithms import QSVM\n",
    "qsvm=QSVM(feature_map,training_input,test_input)\n",
    "from qiskit.aqua import QuantumInstance\n",
    "from qiskit import BasicAer\n",
    "backend=BasicAer.get_backend('qasm_simulator')\n",
    "quantum_instance=QuantumInstance(backend,shots=1024,seed_simulator=10598,seed_transpiler=10598)\n",
    "result=qsvm.run(quantum_instance)\n",
    "plt.scatter(training_input['Benign'][:,0],training_input['Benign'][:,1])\n",
    "plt.scatter(training_input['Malignant'][:,0],training_input['Malignant'][:,1])\n",
    "plt.show()\n",
    "length_data=len(training_input['Malignant'])+len(training_input['Benign'])\n",
    "print(\"size training set is {}\".format(length_data))\n",
    "print(\"metix demision is  {}\".format(result['kernel_matrix_training'].shape))\n",
    "print(\"test accuray is  {}\".format(result['testing_accuracy']))\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "competitive-gamma",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "test_set=np.concatenate((test_input['Benign'],test_input['Malignant']))\n",
    "y_test=qsvm.predict(test_set,quantum_instance)\n",
    "plt.scatter(test_set[:,0],test_set[:,1],c=y_test)\n",
    "plt.show()\n",
    "plt.scatter(test_input['Benign'][:,0],test_input['Benign'][:,1])\n",
    "plt.scatter(test_input['Malignant'][:,0],test_input['Malignant'][:,1])\n",
    "plt.show()\n",
    "\n",
    "dt=data_train\n",
    "ds=data_test\n",
    "data_train=data_train_mf\n",
    "data_test=data_test_mf\n",
    "\n",
    "test_set=np.concatenate((test_input['Benign'],test_input['Malignant']))\n",
    "y_test=qsvm.predict(test_set,quantum_instance)\n",
    "plt.scatter(test_set[:,0],test_set[:,1],c=y_test)\n",
    "plt.show()\n",
    "plt.scatter(test_input['Benign'][:,0],test_input['Benign'][:,1])\n",
    "plt.scatter(test_input['Malignant'][:,0],test_input['Malignant'][:,1])\n",
    "plt.show()\n",
    "\n",
    "data_train=dt\n",
    "data_test=ds"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f9325e3b",
   "metadata": {},
   "source": [
    "## 模型评价"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "negative-circular",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "from itertools import cycle\n",
    "\n",
    "from sklearn import svm, datasets\n",
    "from sklearn.metrics import roc_curve, auc\n",
    "from sklearn.model_selection import train_test_split\n",
    "from sklearn.preprocessing import label_binarize\n",
    "from sklearn.multiclass import OneVsRestClassifier\n",
    "from scipy import interp\n",
    "from sklearn.metrics import roc_auc_score\n",
    "\n",
    "# Import some data to play with\n",
    "iris = datasets.load_iris()\n",
    "X = iris.data\n",
    "y = iris.target\n",
    "\n",
    "# Binarize the output\n",
    "y = label_binarize(y, classes=[0, 1, 2])\n",
    "n_classes = y.shape[1]\n",
    "\n",
    "# Add noisy features to make the problem harder\n",
    "random_state = np.random.RandomState(0)\n",
    "n_samples, n_features = X.shape\n",
    "X = np.c_[X, random_state.randn(n_samples, 200 * n_features)]\n",
    "\n",
    "# shuffle and split training and test sets\n",
    "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=.5,\n",
    "                                                    random_state=0)\n",
    "\n",
    "# Learn to predict each class against the other\n",
    "classifier = OneVsRestClassifier(svm.SVC(kernel='linear', probability=True,\n",
    "                                 random_state=random_state))\n",
    "y_score = classifier.fit(X_train, y_train).decision_function(X_test)\n",
    "\n",
    "# Compute ROC curve and ROC area for each class\n",
    "fpr = dict()\n",
    "tpr = dict()\n",
    "roc_auc = dict()\n",
    "for i in range(n_classes):\n",
    "    fpr[i], tpr[i], _ = roc_curve(y_test[:, i], y_score[:, i])\n",
    "    roc_auc[i] = auc(fpr[i], tpr[i])\n",
    "\n",
    "# Compute micro-average ROC curve and ROC area\n",
    "fpr[\"micro\"], tpr[\"micro\"], _ = roc_curve(y_test.ravel(), y_score.ravel())\n",
    "roc_auc[\"micro\"] = auc(fpr[\"micro\"], tpr[\"micro\"])\n",
    "\n",
    "\n",
    "plt.figure()\n",
    "lw = 2\n",
    "plt.plot(fpr[2], tpr[2], color='darkorange',\n",
    "         lw=lw, label='ROC curve (area = %0.2f)' % roc_auc[2])\n",
    "plt.plot([0, 1], [0, 1], color='navy', lw=lw, linestyle='--')\n",
    "plt.xlim([0.0, 1.0])\n",
    "plt.ylim([0.0, 1.05])\n",
    "plt.xlabel('False Positive Rate')\n",
    "plt.ylabel('True Positive Rate')\n",
    "plt.title('Receiver operating characteristic example')\n",
    "plt.legend(loc=\"lower right\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "abaf1f36",
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/opt/conda/lib/python3.8/site-packages/sklearn/linear_model/_logistic.py:763: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
      "\n",
      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
      "Please also refer to the documentation for alternative solver options:\n",
      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
      "  n_iter_i = _check_optimize_result(\n",
      "/opt/conda/lib/python3.8/site-packages/sklearn/linear_model/_logistic.py:763: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
      "\n",
      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
      "Please also refer to the documentation for alternative solver options:\n",
      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
      "  n_iter_i = _check_optimize_result(\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Logistic:\n",
      "\tBrier: 0.013\n",
      "\tPrecision: 0.976\n",
      "\tRecall: 1.000\n",
      "\tF1: 0.988\n",
      "\n",
      "Naive Bayes:\n",
      "\tBrier: 0.018\n",
      "\tPrecision: 0.976\n",
      "\tRecall: 1.000\n",
      "\tF1: 0.988\n",
      "\n",
      "Naive Bayes + Isotonic:\n",
      "\tBrier: 0.026\n",
      "\tPrecision: 0.975\n",
      "\tRecall: 0.975\n",
      "\tF1: 0.975\n",
      "\n",
      "Naive Bayes + Sigmoid:\n",
      "\tBrier: 0.020\n",
      "\tPrecision: 0.976\n",
      "\tRecall: 1.000\n",
      "\tF1: 0.988\n",
      "\n",
      "Logistic:\n",
      "\tBrier: 0.013\n",
      "\tPrecision: 0.976\n",
      "\tRecall: 1.000\n",
      "\tF1: 0.988\n",
      "\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/opt/conda/lib/python3.8/site-packages/sklearn/svm/_base.py:985: ConvergenceWarning: Liblinear failed to converge, increase the number of iterations.\n",
      "  warnings.warn(\"Liblinear failed to converge, increase \"\n",
      "/opt/conda/lib/python3.8/site-packages/sklearn/svm/_base.py:985: ConvergenceWarning: Liblinear failed to converge, increase the number of iterations.\n",
      "  warnings.warn(\"Liblinear failed to converge, increase \"\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "SVC:\n",
      "\tBrier: 0.082\n",
      "\tPrecision: 1.000\n",
      "\tRecall: 1.000\n",
      "\tF1: 1.000\n",
      "\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/opt/conda/lib/python3.8/site-packages/sklearn/svm/_base.py:985: ConvergenceWarning: Liblinear failed to converge, increase the number of iterations.\n",
      "  warnings.warn(\"Liblinear failed to converge, increase \"\n",
      "/opt/conda/lib/python3.8/site-packages/sklearn/svm/_base.py:985: ConvergenceWarning: Liblinear failed to converge, increase the number of iterations.\n",
      "  warnings.warn(\"Liblinear failed to converge, increase \"\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "SVC + Isotonic:\n",
      "\tBrier: 0.013\n",
      "\tPrecision: 0.976\n",
      "\tRecall: 1.000\n",
      "\tF1: 0.988\n",
      "\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/opt/conda/lib/python3.8/site-packages/sklearn/svm/_base.py:985: ConvergenceWarning: Liblinear failed to converge, increase the number of iterations.\n",
      "  warnings.warn(\"Liblinear failed to converge, increase \"\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "SVC + Sigmoid:\n",
      "\tBrier: 0.028\n",
      "\tPrecision: 0.952\n",
      "\tRecall: 1.000\n",
      "\tF1: 0.976\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 720x720 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 720x720 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "from sklearn import datasets\n",
    "from sklearn.naive_bayes import GaussianNB\n",
    "from sklearn.svm import LinearSVC\n",
    "from sklearn.linear_model import LogisticRegression\n",
    "from sklearn.metrics import (brier_score_loss, precision_score, recall_score,\n",
    "                             f1_score)\n",
    "from sklearn.calibration import CalibratedClassifierCV, calibration_curve\n",
    "from sklearn.model_selection import train_test_split\n",
    "\n",
    "\n",
    "# Create dataset of classification task with many redundant and few\n",
    "# informative features\n",
    "X, y = datasets.make_classification(n_samples=100000, n_features=30,\n",
    "                                    n_informative=2, n_redundant=10,\n",
    "                                    random_state=42)\n",
    "cancer=datasets.load_breast_cancer()\n",
    "X, y =cancer.data,cancer.target\n",
    "\n",
    "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.1,\n",
    "                                                    random_state=42)\n",
    "\n",
    "\n",
    "def plot_calibration_curve(est, name, fig_index):\n",
    "    \"\"\"Plot calibration curve for est w/o and with calibration. \"\"\"\n",
    "    # Calibrated with isotonic calibration\n",
    "    isotonic = CalibratedClassifierCV(est, cv=2, method='isotonic')\n",
    "\n",
    "    # Calibrated with sigmoid calibration\n",
    "    sigmoid = CalibratedClassifierCV(est, cv=2, method='sigmoid')\n",
    "\n",
    "    # Logistic regression with no calibration as baseline\n",
    "    lr = LogisticRegression(C=1.)\n",
    "\n",
    "    fig = plt.figure(fig_index, figsize=(10, 10))\n",
    "    ax1 = plt.subplot2grid((3, 1), (0, 0), rowspan=2)\n",
    "    ax2 = plt.subplot2grid((3, 1), (2, 0))\n",
    "\n",
    "    ax1.plot([0, 1], [0, 1], \"k:\", label=\"Perfectly calibrated\")\n",
    "    for clf, name in [(lr, 'Logistic'),\n",
    "                      (est, name),\n",
    "                      (isotonic, name + ' + Isotonic'),\n",
    "                      (sigmoid, name + ' + Sigmoid')]:\n",
    "        clf.fit(X_train, y_train)\n",
    "        y_pred = clf.predict(X_test)\n",
    "        if hasattr(clf, \"predict_proba\"):\n",
    "            prob_pos = clf.predict_proba(X_test)[:, 1]\n",
    "        else:  # use decision function\n",
    "            prob_pos = clf.decision_function(X_test)\n",
    "            prob_pos = \\\n",
    "                (prob_pos - prob_pos.min()) / (prob_pos.max() - prob_pos.min())\n",
    "\n",
    "        clf_score = brier_score_loss(y_test, prob_pos, pos_label=y.max())\n",
    "        print(\"%s:\" % name)\n",
    "        print(\"\\tBrier: %1.3f\" % (clf_score))\n",
    "        print(\"\\tPrecision: %1.3f\" % precision_score(y_test, y_pred))\n",
    "        print(\"\\tRecall: %1.3f\" % recall_score(y_test, y_pred))\n",
    "        print(\"\\tF1: %1.3f\\n\" % f1_score(y_test, y_pred))\n",
    "\n",
    "        fraction_of_positives, mean_predicted_value = \\\n",
    "            calibration_curve(y_test, prob_pos, n_bins=10)\n",
    "\n",
    "        ax1.plot(mean_predicted_value, fraction_of_positives, \"s-\",\n",
    "                 label=\"%s (%1.3f)\" % (name, clf_score))\n",
    "\n",
    "        ax2.hist(prob_pos, range=(0, 1), bins=10, label=name,\n",
    "                 histtype=\"step\", lw=2)\n",
    "\n",
    "    ax1.set_ylabel(\"Fraction of positives\")\n",
    "    ax1.set_ylim([-0.05, 1.05])\n",
    "    ax1.legend(loc=\"lower right\")\n",
    "    ax1.set_title('Calibration plots  (reliability curve)')\n",
    "\n",
    "    ax2.set_xlabel(\"Mean predicted value\")\n",
    "    ax2.set_ylabel(\"Count\")\n",
    "    ax2.legend(loc=\"upper center\", ncol=2)\n",
    "\n",
    "    plt.tight_layout()\n",
    "\n",
    "# Plot calibration curve for Gaussian Naive Bayes\n",
    "plot_calibration_curve(GaussianNB(), \"Naive Bayes\", 1)\n",
    "\n",
    "# Plot calibration curve for Linear SVC\n",
    "plot_calibration_curve(LinearSVC(max_iter=10000), \"SVC\", 2)\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "ec471638",
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Logistic:\n",
      "\tBrier: 0.096\n",
      "\tPrecision: 0.866\n",
      "\tRecall: 0.870\n",
      "\tF1: 0.868\n",
      "\n",
      "Naive Bayes:\n",
      "\tBrier: 0.115\n",
      "\tPrecision: 0.861\n",
      "\tRecall: 0.877\n",
      "\tF1: 0.869\n",
      "\n",
      "Naive Bayes + Isotonic:\n",
      "\tBrier: 0.096\n",
      "\tPrecision: 0.862\n",
      "\tRecall: 0.875\n",
      "\tF1: 0.868\n",
      "\n",
      "Naive Bayes + Sigmoid:\n",
      "\tBrier: 0.107\n",
      "\tPrecision: 0.861\n",
      "\tRecall: 0.876\n",
      "\tF1: 0.869\n",
      "\n",
      "Logistic:\n",
      "\tBrier: 0.096\n",
      "\tPrecision: 0.866\n",
      "\tRecall: 0.870\n",
      "\tF1: 0.868\n",
      "\n",
      "SVC:\n",
      "\tBrier: 0.162\n",
      "\tPrecision: 0.867\n",
      "\tRecall: 0.870\n",
      "\tF1: 0.868\n",
      "\n",
      "SVC + Isotonic:\n",
      "\tBrier: 0.096\n",
      "\tPrecision: 0.870\n",
      "\tRecall: 0.866\n",
      "\tF1: 0.868\n",
      "\n",
      "SVC + Sigmoid:\n",
      "\tBrier: 0.096\n",
      "\tPrecision: 0.866\n",
      "\tRecall: 0.871\n",
      "\tF1: 0.868\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 720x720 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 720x720 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "\n",
    "from sklearn import datasets\n",
    "from sklearn.naive_bayes import GaussianNB\n",
    "from sklearn.svm import LinearSVC\n",
    "from sklearn.linear_model import LogisticRegression\n",
    "from sklearn.metrics import (brier_score_loss, precision_score, recall_score,\n",
    "                             f1_score)\n",
    "from sklearn.calibration import CalibratedClassifierCV, calibration_curve\n",
    "from sklearn.model_selection import train_test_split\n",
    "\n",
    "\n",
    "# Create dataset of classification task with many redundant and few\n",
    "# informative features\n",
    "X, y = datasets.make_classification(n_samples=100000, n_features=30,\n",
    "                                    n_informative=2, n_redundant=10,\n",
    "                                    random_state=42)\n",
    "\n",
    "\n",
    "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.9,\n",
    "                                                    random_state=42)\n",
    "\n",
    "\n",
    "def plot_calibration_curve(est, name, fig_index):\n",
    "    \"\"\"Plot calibration curve for est w/o and with calibration. \"\"\"\n",
    "    # Calibrated with isotonic calibration\n",
    "    isotonic = CalibratedClassifierCV(est, cv=2, method='isotonic')\n",
    "\n",
    "    # Calibrated with sigmoid calibration\n",
    "    sigmoid = CalibratedClassifierCV(est, cv=2, method='sigmoid')\n",
    "\n",
    "    # Logistic regression with no calibration as baseline\n",
    "    lr = LogisticRegression(C=1.)\n",
    "\n",
    "    fig = plt.figure(fig_index, figsize=(10, 10))\n",
    "    ax1 = plt.subplot2grid((3, 1), (0, 0), rowspan=2)\n",
    "    ax2 = plt.subplot2grid((3, 1), (2, 0))\n",
    "\n",
    "    ax1.plot([0, 1], [0, 1], \"k:\", label=\"Perfectly calibrated\")\n",
    "    for clf, name in [(lr, 'Logistic'),\n",
    "                      (est, name),\n",
    "                      (isotonic, name + ' + Isotonic'),\n",
    "                      (sigmoid, name + ' + Sigmoid')]:\n",
    "        clf.fit(X_train, y_train)\n",
    "        y_pred = clf.predict(X_test)\n",
    "        if hasattr(clf, \"predict_proba\"):\n",
    "            prob_pos = clf.predict_proba(X_test)[:, 1]\n",
    "        else:  # use decision function\n",
    "            prob_pos = clf.decision_function(X_test)\n",
    "            prob_pos = \\\n",
    "                (prob_pos - prob_pos.min()) / (prob_pos.max() - prob_pos.min())\n",
    "\n",
    "        clf_score = brier_score_loss(y_test, prob_pos, pos_label=y.max())\n",
    "        print(\"%s:\" % name)\n",
    "        print(\"\\tBrier: %1.3f\" % (clf_score))\n",
    "        print(\"\\tPrecision: %1.3f\" % precision_score(y_test, y_pred))\n",
    "        print(\"\\tRecall: %1.3f\" % recall_score(y_test, y_pred))\n",
    "        print(\"\\tF1: %1.3f\\n\" % f1_score(y_test, y_pred))\n",
    "\n",
    "        fraction_of_positives, mean_predicted_value = \\\n",
    "            calibration_curve(y_test, prob_pos, n_bins=10)\n",
    "\n",
    "        ax1.plot(mean_predicted_value, fraction_of_positives, \"s-\",\n",
    "                 label=\"%s (%1.3f)\" % (name, clf_score))\n",
    "\n",
    "        ax2.hist(prob_pos, range=(0, 1), bins=10, label=name,\n",
    "                 histtype=\"step\", lw=2)\n",
    "\n",
    "    ax1.set_ylabel(\"Fraction of positives\")\n",
    "    ax1.set_ylim([-0.05, 1.05])\n",
    "    ax1.legend(loc=\"lower right\")\n",
    "    ax1.set_title('Calibration plots  (reliability curve)')\n",
    "\n",
    "    ax2.set_xlabel(\"Mean predicted value\")\n",
    "    ax2.set_ylabel(\"Count\")\n",
    "    ax2.legend(loc=\"upper center\", ncol=2)\n",
    "\n",
    "    plt.tight_layout()\n",
    "\n",
    "# Plot calibration curve for Gaussian Naive Bayes\n",
    "plot_calibration_curve(GaussianNB(), \"Naive Bayes\", 1)\n",
    "\n",
    "# Plot calibration curve for Linear SVC\n",
    "plot_calibration_curve(LinearSVC(max_iter=10000), \"SVC\", 2)\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "71cba2b3",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.8"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}
